AUTOMATED DOOR STATE DETECTION USING DEEP LEARNING: A COMPUTER VISION APPROACH WITH ROBOFLOW PLATFORM

This paper presents a deep learning-based approach for automated door state detection, capable of classifying doors as open, closed, or semi-open. The implementation leverages the Roboflow platform for comprehensive image processing and model development workflow. Our methodology encompasses data collection, annotation, augmentation, and model training using state-of-the-art deep learning architectures. The system demonstrates robust performance in real-world scenarios, offering potential applications in building automation, security systems, and smart home technologies. This work contributes to the growing field of automated building monitoring by providing a practical solution for door state recognition that can be integrated into existing surveillance and security infrastructures

MICROBIOLOGICAL GROUNDWATER QUALITY IN SHALLOW WELLS BEFORE AND AFTER DISINFECTION WITH PERACETIC ACID

The microbiological examination of water is used worldwide to monitor and control the quality and safety of various types of water. Peracetic acid (PAA) has garnered increasing attention as an alternative oxidant and disinfectant in water treatment due to the rising demand to reduce chlorine usage and control disinfection byproducts. The main aim of the research was to assess the well water microbiological quality before and after disinfection with PAA. The water samples were taken from 5 wells in the rural areas of Probishtip and Kocani regions of North Macedonia. Sampling was conducted twice (before and after disinfection) per season during the four seasons of the year. Water samples from 5 shallow wells were analysed for microbiological parameters using reference methods. The results were compared with the quality of control water and the permissible values according to the national legislation. Water quality parameters indicated that all well water samples failed to meet safe drinking water limits. A significant improvement in the microbiological quality of the water was observed during the seasons when a PAA working solution with concentrations of 0.05% and 0.1% was used. The regression statistical model revealed that disinfection with PAA and the seasonal variation in its concentration had a statistically significant influence on the microbiological quality of well water (p<0.001). Identification and management of groundwater quality are of utmost importance for maintaining freshwater resources, which are essential for sustainable rural development

WATER QUALITY OF KOSELSKA RIVER AND OHRID LAKE IN THE DALJAN REGION

The aim of this paper is to examine the state and quality of the water from Koselska river, as well as its influence on the quality of water in the coastal zone, more precisely where the mouth of the river flows into the lake. Also, the goal of this research was to look at the nature and degree of possible water pollution, due to anthropogenic influence, based on the results obtained from the testing of microbiological and physio-chemical parameters, which would make it possible to predict and recommend remedial measures and minimize pollution. To correctly interpret the results of the microbiological analysis of water, physical and chemical tests of water temperature and BOD5 were also performed. The microbiological examination included testing the composition and dynamics of heterotrophic, psychrophilic and mesophilic bacteria, determining the index of mesophilic and psychrophilic bacteria (M/P), the index of facultative oligotrophic and heterotrophic bacteria (FO/X), as well as the total number of coliform bacteria. It was determined that the representation and abundance of all types of microorganisms is higher in the river water than in the lake water. The total number of bacteria from Daljan region is greater in the summer period compared to other periods of the year. Likewise, consistently high values ​​of the number of coliform bacteria were determined in the two types of water. Based on the results obtained in this research, it was determined that the water from the river affects the quality, health and safety of the water in Ohrid Lake

CARBON AND OXYGEN ISOTOPE SIGNATURE OF HYDROTHERMAL MINERAL DEPOSITS IN A POST-COLLISIONAL MAGMATIC-HYDROTHERMAL SYSTEM: A REVIEW FROM NORTH MACEDONIA

The subaerial magmatic-hydrothermal system exposed on the territory of Republic of North Macedonia represents a natural laboratory for studies of ore-forming processes associated with post-collisional magmatism. In this part of the Balkan Peninsula, neotectonics uplifted and exposed Tertiary post-collisional mineral deposits formed at different crustal levels, including deeply sitting porphyry Cu deposits, proximal and distal skarn deposits, and Carlin-like deposits. Locally epithermal deposits are also preserved. This paper summarizes and discusses previously published carbon and oxygen isotope data obtained from gangue carbonates collected from the key deposits in North Macedonia. &nbsp

IN VITRO EVALUATION OF SOIL Bacillus STRAINS ISOLATED FROM THE BUCIM COPPER MINE FOR BIOCONTROL AGAINST GRAPEVINE DOWNY MILDEW

Plasmopara viticola, the disease that causes grapevine downy mildew, is a major and enduring concern for the grapevine industry globally. It’s challenging to manage using chemical and agricultural methods. For the wine-growing industry, several countries, including North Macedonia, have reoriented their strategies in order to reduce chemical inputs, which have been shown to be toxic and to have a negative impact on the environment. Instead, they are replacing these chemicals with sustainable biocontrol regulations. Bacillus spp. is a well-known plant-protective bacteria with antifungal potential in biocontrol strategies. The aim of this study was to isolate and screen soil Bacillus strains from the Bucim Copper Mine in four seasons with potential applications for biocontrol of this disease. The highest number (3.2 x 105 CFUg-1) of Bacillus spp. was found in autumn, while the lowest number (2.8 x 102 CFUg-1) was found in winter. Out of 18 isolates, 4  showed antifungal activity against Plasmopara viticola. The intracellular metabolites of the isolates B1-19, B2-3, B3-2, B3-4 showed maximum inhibition of 20-32 mm, while only the extracellular extract of the isolate B1-19 showed maximum inhibition of 25 mm against Plasmopara viticola. The moisture content values ranged from 0.9-8.5 % and the pH value ranged from 7.11 – 7.58. The total organic matter values ranged from 4.47 to 4.99 %. Due to the antifungal potential as biological control agents against grape downy mildew, the isolates are expected to enhance integrated pest management systems going forward and maybe reduce the quantity of chemical fungicides used in vineyards

Strategic Event Management and Promotion Enhancing Audience Engagement for Radio Stations

Radio stations must adopt innovative strategies to capture and retain audience attention in an increasingly competitive media landscape. This paper explores the role of strategic event management and promotion as vital tools for enhancing audience engagement in the radio broadcasting sector. By examining contemporary promotional techniques, on-ground and virtual event initiatives, and the integration of digital media platforms, the study highlights how radio stations can create interactive, memorable experiences that strengthen listener loyalty and brand presence. Drawing on case studies, industry reports, and audience behaviour analysis, the research identifies best practices and emerging trends in event-based audience engagement. The findings suggest that well-orchestrated events and targeted promotional campaigns amplify audience participation and contribute to the station’s cultural relevance and commercial success. The paper concludes by offering strategic recommendations for radio managers and event coordinators aiming to optimize engagement through dynamic, audience-centric programming

THE SPORT BETWEEN THE FREE MOVEMENT OF SERVICES AND COMPETITION LAW IN THE EUROPEAN UNION

The free movement of services is one of the four freedoms on which the single market is based, while competition law is one of the most exploited policies of the European Union. The paper elaborates on the judgment of the Court of Justice of the European Union (CJEU) of December 2023 concerning the case brought by several football clubs against the football organizations FIFA and UEFA. Namely, several European football clubs, contrary to the statutes of FIFA and UEFA, which do not allow the creation of additional competitions beyond those already organized by these two organizations, started the creation of a so-called Super League that would be composed of the best European football clubs. The creation of the Super League has caused threats from UEFA and FIFA, not only to the clubs that want to be part of this project, but also to the players who are part of these clubs. To this end, the teams that want to be part of the Super League have brought proceedings before the Court of Justice of the European Union against UEFA and FIFA for abuse of their dominant position on the market, violation of the right to free movement of services and violation of competition rules. In addition, the paper also elaborates on the judgment of the Commercial Court in Madrid of April 2024 after the case was referred back to the national court by the CJEU. In conclusion, the authors give their views on how such a project will affect the game of football, the relationship of the clubs with FIFA and UEFA, but also how it will affect the most important part, which are the fans

TOURISM AS AN OPEN COMMUNICATION SYSTEM

Considering tourism as an open communication system is justified and necessary in the conditions of revolutionary transformations in processes, products, relationships, technologies and strategies. The Tourism system acts as an open and complex structure, consisting of many and functionally dissimilar subsystems. These are independent, relatively separate parts with their own structures, their own mission and field of activity. However, the building blocks of this system cannot be considered as autonomous, internally homogeneous parts, united around a single goal. They are opposing subsystems with deeply different interests, often leading to conflicts in terms of goals. Nevertheless, the foundations of the Tourism system are the unity that represents and objectifies it through a fundamental social law - the law of synergy, requiring integration of efforts and one-sidedness of actions (with a direct impact on the final result). The application of this law is possible only through communication. To achieve the effect of synergy in a communication system, it is necessary to direct, distribute and coordinate (unite) the energy, actions and behavior of people in its constituent units. Since all subsystems are interconnected and dependent on each other, the malfunctioning of even the smallest component in any of them can affect the system as a whole. Therefore, the communication performance of each of its units, of each collaborator, is important for the overall success of the organic whole

INTEGRATING AI AND CLOUD COMPUTING FOR EFFICIENT AUDIO ANALYSIS

Abstract. This paper propose a pipeline for sentiment analysis of audio inputs by using AI and techniques for speech recognition. A key aspect of our approach involves determining audio chunks based on silence detection and decibel height, allowing for more effective segmentation and analysis of the input data. These techniques will be instrumental in categorizing audio materials, enabling more organized and accessible content management. In the scope of this paper, we will compare and utilize several Python packages for audio detection, including Librosa, PyDub, and SoundFile, which offer various functionalities for audio analysis and manipulation. Additionally, we discuss the high computational demands associated with training and deploying of models, highlighting the potential cost barriers for many organizations. To address these challenges, we propose the use of cloud-based solutions, specifically AWS Spot Instances, Azure Spot VMs, and Google Cloud Preemptible VMs, which offer substantial cost savings for processing audio data. By leveraging these cloud resources, organizations can significantly reduce expenses while maintaining high performance in AI audio processing tasks