Serbian Academy of Sciences and Arts
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Towards a Semantic Dictionary of Serbian Verbs (in the Context of Semantic Dictionaries of Verbs in Other Slavic Languages)
У раду се предлаже израда семантичког речника глагола српског језика и у том смислу излаже се научна и практична потреба постојања таквог речника, те представља његов теоријско-методолошки оквир. Теоријску основу речника чинили би досадашњи резултати у истраживању лексичко-семантичких група глагола у словенској лингвистици на основу теорије семантичких поља, док би се методолошки ослањао на достигнућа српске дескриптивне лексикографије. Даће се преглед сличних подухвата у словенском свету и указати на проблеме са којима се аутори могу сусрести приликом израде таквог речника, почев од избора грађе, начина класификације и поступака њихове лексикографске обраде. Овакав речник би попунио једну од празнина у савременој српској лексикографији и био од помоћи у контрастивним истраживањима глаголске лексике и у учењу српског језика као страног.The paper proposes the creation of a semantic dictionary of Serbian verbs. The theoretical basis of the dictionary would be the results achieved so far in the study of lexical-semantic groups of verbs in Slavic linguistics, based on the theory of semantic fields, while methodologically it would rely on the achievements of Serbian descriptive lexicography. A review of similar efforts in the Slavic world has been presented and the problems that authors may encounter during the creation of such a dictionary are pointed out, starting with the selection of material, the method of classification, and the procedures of their lexicographic processing. This kind of dictionary would fill a gap in the contemporary Serbian lexicography and would also be useful in the contrastive research of verb lexicon and in learning Serbian as a foreign language
An Integer Erasure Correction Coding and Its Application for Security Enhancement of Encryption
This paper presents a new class of erasure-correcting codes (ECCs) aimed at enhancing cryptographic security of certain encryption schemes. The proposed ECCs employ integer arithmetic to encode and decode data bits and can correct all data bytes, each affected by exactly two erasures. In the enhanced encryption scheme, the ciphertext produced by the initial encryption undergoes further processing. The enhancement leverages specific fragmentation, the proposed ECCs and a simulated noisy channel. For legitimate users, the simulated noisy channel functions as a binary erasure channel, while for an attacker without the secret key, it acts as a channel with random deletions. Security notation and evaluation follow the traditional approach, assessing the attacker’s advantage in distinguishing between two ciphertexts versus random guessing. This evaluation employs dedicated analysis based on information-theoretic findings on the capacity of certain deletion channels and is supported by illustrative numerical examples
The Relations between the Ustasha and the Roman Catholic Clergy in the Independent State of Croatia
This paper examines the relationship between the Roman Catholic clergy and the Ustasha regime in the Independent State of Croatia, ranging from active collaboration to silent acceptance. Initially, Archbishop Alojzije Stepinac and the higher clergy enthusiastically supported the creation of an independent Croatia under Ustasha rule. However, this enthusiasm gradually gave way to a more cautious yet ultimately unwavering endorsement of the state’s existence and territorial claims. The clergy’s support remained widespread, as many members were integrated into the state system through civil service, the educational apparatus, and the military vicariate. After 1943, as Axis defeat
became imminent, the Croatian clergy sought to distance the broader goal of Croatian independence from the Ustasha regime. Stepinac’s late attempts to appeal to the Allies proved ineffective, and with the Communist-led forces taking control, the Catholic Church in Croatia found itself in direct conflict with the new authorities
Comparison of Interactions and Morphology During Aluminum Fluoride and Water Intercalation in Graphite
Understanding the intercalation behavior of ionic and molecular species in graphite is essential for advancing layered and two-dimensional material applications. In this study, we present a comparative investigation of the structural, energetic, and morphological features associated with the intercalation of aluminum fluoride ( molecular dynamics simulations with density functional theory calculations, we evaluate interlayer spacing, binding energies, and interaction mechanisms of both intercalants within the graphite host. The results reveal distinct intercalation pathways and interfacial morphologies: water molecules induce interlayer swelling and exhibit a homogeneous distribution between graphene sheets, while lized domains stabilized primarily by electrostatic interactions. These contrasting behaviors lead to markedly different structural responses in the graphite matrix. The insights gained from this comparative study offer valuable guidance for the design of graphite- based materials tailored for electrochemical devices and layered composite systems
Огледи из језика у примени: од текстуалне до критичке анализе. Страхиња Степанов
Приказ монографије Огледи из језика у примени: од текстуалне до критичке анализе Страхиње Степанова, Нови Сад: Филозофски факултет, 2024, 228 стр
Selective lithium recovery from spent NCM type Li-ion battery materials by powder electrolysis
This study presents an eco-friendly electrochemical method for selectively recovering lithium from spent NCM (LiNi1-x-yCoxMnyO2) materials via powder electrolysis. Traditional recycling methods often generate hazardous gases and require high temperatures or excess chemical reagents. Using a custom-designed electrolytic cell and a porous anode frame in which the NCM powders were mounted, this innovative method ensures continuous contact between the electrode powder and the anode within an optimized pH of the electrolyte, thereby enhancing lithium extraction efficiency while minimizing the co-leaching of other metals. By adjusting the initial pH of the electrolyte and leveraging localized acidic and alkaline conditions created during electrolysis, high lithium extraction efficiency was achieved. Experimental results show that at an initial electrolyte pH of 2 and a temperature of 85°C, the leaching efficiency of Li reached 94.62 wt%, with minimal dissolution of Ni, Co, and Mn (i.e., 1.80 wt%, 0.52 wt%, and 0.13 wt%, respectively). This method improves the efficiency of lithium recovery and reduces environmental impact by eliminating hazardous gas emissions and minimizing the use of chemical reagents.This is the peer reviewed version of the paper: Zhu, Guohui, Yang, Qian, Guo, Xueyi, Yu, Dawei, Mitrašinović, Aleksandar, Tian, Qinghua, Feng, Hao, Zhang, Kun, "Selective lithium recovery from spent NCM type Li-ion battery materials by powder electrolysis" in Journal of Environmental Chemical Engineering, 13, no. 1 (2025):115173, [https://doi.org/10.1016/j.jece.2024.115173
Influence of different types of surfactants on the physicochemical and antitumor properties of ZnO nanostructured powders prepared via microwave-assisted procedure
This work investigates the synthesis of zinc oxide (ZnO) nanoparticles through a microwave- assisted procedure and the physicochemical characterization of the obtained materials. The application of microwave synthesis provides a fast, efficient and energy-friendly method for producing ZnO nanoparticles of specific morphologies. This method allows control of particle size and shape, altering them optimal for various applications in research and industry. Important part of the research focuses on the use of surfactants, specifically citric acid (CA) and cetyltrimethylammonium bromide (CTAB), on the morphology and structural properties of the prepared ZnO. These surface agents act as stabilizers during synthesis procedure, enabling the preparation of nanoparticles with enhanced physicochemical properties. Experimental results show that the selection of surfactants significantly modifies the structure and surface defects in the ZnO crystal. In addition, the potential antitumor properties of ZnO nanoparticles as reagents in biomedical applications were investigated. In combination with their unique physicochemical properties, these nanostructural materials show promising results in targeting and apoptosis of tumor cells. Overall, it is concluded that the synthesis of ZnO nanoparticles via microwave processes, as well as the modification of their properties through the use of surfactants, offers a significant influence to the development of new materials for biomedical applications. Future research is essential for better understanding the mechanisms underlying the action of these nanoparticles and their practical application in clinical settings
Influence of hydrothermal aging on biological properties of the light-cured, CADCAM milled and 3D printed dental composites- In vitro study
In contemporary restorative dentistry, fabrication of composite restorations relies on three principal technologies: direct- light-curing, subtractive-milling, and additive 3D printing. It is well established that direct light-cured composite resins do not achieve complete polymerization, resulting in potential unreacted monomers diffusion through dentinal tubules toward the pulp tissue. Recently introduced 3D-printed composite resins contain a higher proportion of organic matrix to inorganic fillers, which may adversely affect their biological characteristics and overall biocompatibility. Therefore, the aim of the present work is to evaluate and compare biological properties of light cured (LC), CAD-CAM-milled (MC) and 3D printed (PC) dental composites before and after hydrothermal aging. Disc-shaped specimens of each material were fabricated and subjected to four aging protocols: unaged (T0), or thermocycled for 5,000 (T1), 10,000 (T2), or 30,000 cycles (T3). The experimental analysis included cell viability assays and live/dead fluorescent microscopy using human gingival fibroblasts (HGFs), assessment of inflammatory response (IL-6 and PGE2), and oxidative stress(total antioxidant status (TAS), total oxidant status (TOS), and oxidative stress index (OSI). Fourier Transform Infrared (FTIR) spectroscopy was performed to evaluate the surface chemistry and of tested materials.All materials showed acceptable cell viability (>70%). LC displayed the greatest variability after aging, MC remained stable, and PC achieved the highest biocompatibility with minimal inflammatory and oxidative responses. FTIR analysis indicated a more advanced polymer network and fewer unreacted groups in PC and MC, suggesting superior polymerization and long-term stability compared to LC.Overall, the results indicate that both the manufacturing technique and material composition critically determine the biological performance of dental composites, with PC exhibiting the highest stability and most consistent biocompatibility under aging conditions
Electrochemical characterization of carbon-based pyrophyllite modified electrode for the detection of carbendazim fungicide
The proposed research aims to develop and characterize the electrochemical sensor based on the natural pyrophyllite clay modified carbon paste electrode. Pyrophyllite from Parsovići mine (Bosnia and Herzegovina) was mechanically modified in a ball mill for different durations. Electrochemical characteristics were monitored by cyclic voltammetry in 0.1 M KCl with 1 mM K4Fe(CN)6 . Among the tested compositions, the electrode containing 50% carbon paste and 50% pyrophyllite mechanochemically treated for 15 minutes exhibited the best performance. Using differential pulse striping voltammetry, carbendazim was detected at different pH values in the Britton-Robinson buffer. The developed method showed linearity at pH 4 in the concentration range of 1-10 ppm, with r=0.998, a detection limit of 0.092 ppm, and a RSD of 1.5%. The electrocatalytic activity of the modified electrode is improved during the mechanochemical treatment
Personalized Learning through Artificial Intelligence: Opportunities, Risks, and Policy Perspectives
Artificial Intelligence (AI) is redefining the landscape of personalized education by enabling adaptive systems that respond dynamically to individual learning needs. This paper explores how AI technologies-including machine learning, big data analytics, and intelligent tutoring systems-support the transformation of pedagogical models. Key opportunities discussed include real-time personalization of content delivery, increased student motivation, and inclusive learning environments. At the same time, the study critically examines potential risks, such as data privacy concerns, algorithmic bias, and the erosion of human-centered pedagogy. Policy implications are addressed with recommendations for regulatory frameworks to ensure ethical and responsible AI integration into education. The paper emphasizes the need for empirical research to validate AI-driven models in diverse educational settings. By aligning technological innovation with humanistic values, the paper contributes to ongoing discourse on how AI can support-not supplant-the role of educators. The findings provide a foundation for future research and policy design aimed at creating equitable, transparent, and effective personalized learning ecosystems