This paper explores the development and current state of andragogy as a scientific discipline in Serbia, with a particular focus on its professionalisation at the University of Belgrade. Despite periods of crisis and societal transitions, andragogy has demonstrated remarkable resilience, remaining relevant and influential in the educational landscape. The current study program at the Department of Andragogy at the University of Belgrade is depicted at the undergraduate, master’s, and doctoral levels. By analysing master’s and doctoral theses, and published scientific papers, the paper provides insights into the prevalent issues and topics in the field. The findings underscore the impact and relevance of andragogy in Serbia and suggest its future prospects. Upholding its core principles and holistic approach, andragogy can play a pivotal role in bridging the gap between the past and the present, leading to the revitalisation of adult education and shaping the trajectory of the discipline itself in Serbia and beyond.

Abstract The largest mountainous lake in Bosnia and Herzegovina, Lake Blidinje, is located 1,185 meters above sea level. Polymictic lakes are those in which the entire water column is frequently mixed. Shallow lakes function very differently than deep lakes in many ways because of the strong sediment– water interaction and the possibility for significant water impact on vegetation. In the multiple regression analysis, two models were developed with coefficients of multiple determination (R2 = 0.720 and R2 = 0.497) for the independent variable chlorophyll a. The resulting models are compared with water quality monitoring data from 2017 to 2019.

Navigation is a must-have skill for any mobile robot. A core challenge in navigation is the need to account for an ample number of possible configurations of environment and navigation contexts. We claim that a mobile robot should be able to explain its navigational choices making its decisions understandable to humans. In this paper, we briefly present our approach to explaining navigational decisions of a robot through visual and textual explanations. We propose a user study to test the understandability and simplicity of the robot explanations and outline our further research agenda.

The auditory brainstem response (ABR) is a valuable clinical tool for objective hearing assessment, which is conventionally detected by averaging neural responses to thousands of short stimuli. Progressing beyond these unnatural stimuli, brainstem responses to continuous speech presented via earphones have been recently detected using linear temporal response functions (TRFs). Here, we extend earlier studies by measuring subcortical responses to continuous speech presented in the sound-field, and assess the amount of data needed to estimate brainstem TRFs. Electroencephalography (EEG) was recorded from 24 normal hearing participants while they listened to clicks and stories presented via earphones and loudspeakers. Subcortical TRFs were computed after accounting for non-linear processing in the auditory periphery by either stimulus rectification or an auditory nerve model. Our results demonstrated that subcortical responses to continuous speech could be reliably measured in the sound-field. TRFs estimated using auditory nerve models outperformed simple rectification, and 16 minutes of data was sufficient for the TRFs of all participants to show clear wave V peaks for both earphones and sound-field stimuli. Subcortical TRFs to continuous speech were highly consistent in both earphone and sound-field conditions, and with click ABRs. However, sound-field TRFs required slightly more data (16 minutes) to achieve clear wave V peaks compared to earphone TRFs (12 minutes), possibly due to effects of room acoustics. By investigating subcortical responses to sound-field speech stimuli, this study lays the groundwork for bringing objective hearing assessment closer to real-life conditions, which may lead to improved hearing evaluations and smart hearing technologies.

Socially-assistive robots (SARs) have significant potential to help manage chronic diseases (e.g. dementia, depression, diabetes) in spaces where people live, averse to clinic-based care. However, the challenge is designing SARs so that they perform appropriate interactions with people who have different characteristics, such as age, gender, and cultural identity. Those characteristics impact how human behaviors are performed as well as user expectations of robot responses. Although cross-cultural studies with robots have been conducted to understand differing population characteristics, they have mainly focused on statistical comparisons of groups. In this study, we utilize deep learning (DL) and machine learning (ML) models to evaluate whether cultural differences show up in robotic sensor data during human-robot interaction (HRI). To do so, a SAR was distributed to user's homes for three weeks in the US and Korea (25 participants), while collecting data on the human activity and the surrounding environment through on-board sensor devices. DL models based on that data were able to predict the user’s cultural identity with roughly 95% accuracy. Such findings have potential implications for the design and development of culturally-adaptive SARs to provide services across diverse cultural locales and multi-cultural environments where users’ cultural background cannot be assumed a priori. GRAPHICAL ABSTRACT

The word rehabilitation is of Latin origin (sanacio) and means treatment, from the point of view of the economy of the company, rehabilitation means economic and technical-organizational measures that should contribute to the recovery of the company, in the sense of making it liquid and profitable again. A company is considered sick if, in the long run, it is unable to meet its obligations and operates at a loss. The causes of the disease can be external and internal. Financial difficulties, manifested in illiquidity and unprofitability, cause the need for rehabilitation. Initiation of remediation presupposes remediation eligibility, which exists if permanent recovery of the company is possible. Determining the suitability of rehabilitation involves examination and selection of measures, the implementation of which ensures the permanent recovery of the company, in the sense of re-establishing the financial balance and returning to the profit zone. This paper explores the food industry business market as an example, highlighting the key role of market research in successful economic recovery. Through this example, market research becomes a fundamental framework for identifying the changes that a company needs to implement in its operations in order to become more competitive. The example will show the market research of companies from the food industry. There is no successful economic rehabilitation without market research. This example can serve as a framework for market research, which provides answers to the question of what the company needs to change in its business in order to be more successful than the competition. The research results have significant implications for managers, experts and political decision-makers, providing them with information necessary for effective management of financial crises and ensuring the stability of companies, as well as a faster understanding of the competitive business environment.

Before the famous commentaries on the classical works of Persian literature, Ahmed Sudi Bosnevi wrote in Ottoman Turkish language commentaries on al-Kāfiya and al-Šāfiya, the works on Arabic syntax and morphology written by the famous Arab grammarian, Ibn Ḥāğib. The main purpose of this research is to explore and analyse different aspects of Sudiʼs commentaries on al-Kāfiya and al-Šāfiya, to give an insight into these hitherto unstudied manuscripts and to present Sudiʼs specific way of commenting by translation and description of passages from the original texts of the commentaries. In addition to this, the paper presents the educational and scientific path of Ahmed Sudi Bosnevi and his role as a muderis who tried to improve the teaching process by writing commentaries on the textbooks that were part of the Curriculum in Ottoman madrasas. Likewise, this paper investigates the significance of the original texts of al-Kāfiya and al-Šāfiya in the Arabic grammatical tradition.

In this paper we consider the space R2 with the river metric d* and different types of convexity of this space. We define W-convex structure in (R2, d*) and we give the complete characterization of the convex sets in this space. We consider some measures of noncompactness and we give the moduli of noncompactness for considered measures on this space.

Abstract The concentrations of eight heavy metals (Cd, Cr, Cu, Fe, Mn, Ni, Pb and Zn) associated with PM2.5 and PM10 in Sarajevo air, Bosnia and Herzegovina (BiH) have been studied. A total of 136 PM2.5 and PM10 samples were simultaneously collected from 21 February to 11 November 2020. Metal contents were determined by atomic absorption spectrometry, flame (FAAS) and electrothermal (ETAAS) techniques. The mean concentrations of metals in PM10 are 2.93 ng/m3 (Cd), 7.21 ng/m3 (Cr), 12.02 ng/m3 (Cu), 126 ng/m3 (Fe), 20.74 ng/m3 (Mn), 6.98 ng/m3 (Ni), 8.74 ng/m3 (Pb) and 128 ng/m3 (Zn). In PM2.5 samples the mean concentrations of Cd, Cr, Cu, Fe, Mn, Ni and Zn are 0.39, 4.06, 2.26, 110, 0.63, 1.93 and 5.28 ng/m3, respectively. Pb was not detected in PM2.5 samples. Strong correlation was obtained for metal pairs Mn-Cu in PM10 and moderate for Ni-Fe in PM2.5. The health risk assessment shows that the adult population of Sarajevo is at increased lifetime risk of experiencing cancer because of exposure to Cd concentrations in PM10.

Abstract The COVID-19 virus pandemic had an impact on all segments of life, including dally operations of companies. Companies had to adapt to market developments and change their business philosophy in order to survive in the market. This paper showed how the crisis caused by the COVID-19 virus pandemic affects the business of companies. This study aims to examine the business performance indicators (BPI) of companies listed on the Warsaw Stock Exchange (WSE) before and during the COVID-19 pandemic with a focus on corporate social responsibility (CSR). In order to examine this, a multivariate regression analysis was conducted. The findings show that there were no changes in the BPIs before and during the COVID-19 pandemic in companies in relation to CSR strategy. The only exception was found in the group of CSR companies that reported a lower profit margin during the COVID-19 pandemic. Companies with better BPIs may be willing to introduce CSR principles into their strategy and during the pandemic, intangibles influenced CSR strategy in a negative way. The limitations of the article are related to the study of only one market. Identified relationships allowed for a better understanding of the application of social responsibility principles among enterprises in Central Europe.

SUMMARY Communities of microorganisms (microbiota) are present in all habitats on Earth and are relevant for agriculture, health, and climate. Deciphering the mechanisms that determine microbiota dynamics and functioning within the context of their respective environments or hosts (the microbiomes) is crucially important. However, the sheer taxonomic, metabolic, functional, and spatial complexity of most microbiomes poses substantial challenges to advancing our knowledge of these mechanisms. While nucleic acid sequencing technologies can chart microbiota composition with high precision, we mostly lack information about the functional roles and interactions of each strain present in a given microbiome. This limits our ability to predict microbiome function in natural habitats and, in the case of dysfunction or dysbiosis, to redirect microbiomes onto stable paths. Here, we will discuss a systematic approach (dubbed the N+1/N−1 concept) to enable step-by-step dissection of microbiome assembly and functioning, as well as intervention procedures to introduce or eliminate one particular microbial strain at a time. The N+1/N−1 concept is informed by natural invasion events and selects culturable, genetically accessible microbes with well-annotated genomes to chart their proliferation or decline within defined synthetic and/or complex natural microbiota. This approach enables harnessing classical microbiological and diversity approaches, as well as omics tools and mathematical modeling to decipher the mechanisms underlying N+1/N−1 microbiota outcomes. Application of this concept further provides stepping stones and benchmarks for microbiome structure and function analyses and more complex microbiome intervention strategies.

The beginnings of neurosurgery in Croatia date to the end of the 19th century when Teodor Wickerhauser performed the first craniotomy in the country in 1886. Exactly 60 years later, in 1946, Danko Riessner founded a separate neurosurgical ward in Zagreb and is therefore considered the founder of Croatian neurosurgery. His main scientific contribution was a paper on the shifting of brain masses, published in 1939. The Department of Neurosurgery at the University of Zagreb was founded in 1974 as one of the first institutions of its kind in Southeast Europe. Finally, the Croatian Neurosurgical Society was founded in 1992 to promote the neurosurgical profession and science at the national level. This historical vignette aimed to provide a brief chronology of the most important events and notable people in the history of Croatian neurosurgery, as well as to commemorate its founders and highlight its development from the beginning to its current state of proficiency and expertise.

This paper proposes a decentralized planning constructed as a cyber-physical system to jointly manage supply and demand, including aspects related to production and circulation, without the mediation of money. Our aim is to provide a concrete technical solution for a future society based on communizing and commons-based resource allocation as an attempt to move in-against-and-beyond the value-form, which is the social “force-field” that characterizes the capitalist mode of production. This contribution is divided into three articulated parts: (i) a review of the elementary forms that jointly determine the capitalist social organization, (ii) a defense of the proposition that the money-form must be destroyed to enable a new mode of production based on communizing, and (iii) a proposal of a cyber-physical implementation of a jointly decentralized production planning and resource allocation over large infrastructures that enable a multilevel polycentric governance as a variation of the Interactive Economic Planning and Optimized Selections (I-EPOS) algorithm when coordination is needed.