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SCIENCE FOR KIDS – PRESENTATION OF THE ROLE OF CHILDREN UNIVERSITY USING THE EXAMPLE OF KITCHEN EXPERIMENTS
Full text linkThis paper presents in brief information about the Children’s University (CU) (learning activities for children conducted by scientists) in Europe and in Poland. We present examples of chemical experiments for students ages 6–11 who are new to chemistry. During the workshops we used standard products from our kitchens to discuss the importance of chemistry in everyday life. By performing the tasks themselves, young students get familiar with the safety rules necessary for the work in a laboratory
EUROPEAN UNIVERSITIES ALLIANCES: THE EXAMPLE OF THE UNIVERSITY OF NATIONAL AND WORLD ECONOMY (UNWE), SOFIA, BULGARIA
Full text linkThe current paper is dedicated to the study of the experience of the University of National and World Economy (UNWE), Sofia, Bulgaria, in the most large-scale initiative of the European Commission in the field of higher education, science and innovation – the European Universities initiative or European Universities alliances. The aim of this initiative is to create an unprecedented level of close transnational cooperation between higher education institutions in Europe. The paper is focused specifically on one of those alliances – the European Universities alliance ENGAGE.EU, of which the UNWE is a member, along with eight other leading European universities. This alliance was started in 2020, and its second stage – ENGAGE.EU R&I (ENGAGE.EU 2.0), was launched on November 1, 2023, and will continue until October 30, 2027
MODERN PERSPECTIVES ON ION BĂIEȘU’S THEATER AND HIERONYMUS BOSCH’S PAINTINGS
Full text linkThis article aims to demonstrate that there are no boundaries that could separate arts and literature, the two fields being connected to the same aesthetic reality. The approach of Ion Băieșu’s theater reveals a surprising fictional universe in which bizarre figures live and turn into grotesque hypostases. The doctor or the healer become more than simple dramatic characters and more likely projections of tormented selves fighting against each other for a brutal and absurd purpose. In an authentic manner, these symbolic images manage to describe a sublime universe that encounters Bosch paintings by reconstructing emblematic scenes, named suggestively by the painter: Cutting the Stone (The Cure of Folly) or The Ship of Fools. In fact, the perspective is absolutely inspiring, both pictures conveying the very sense of madness as a form of being both in the writer’s and the painter’s world. This analysis-reflection will highlight the powerful connection between these two artists, trying to emphasize symbolic and truthful meanings
EXPLORING BUSINESS ENGLISH TRANSLATION WITH A FOCUS ON ACHIEVING FUNCTIONAL EQUIVALENCE
Full text linkEquivalence in translation has been a subject of debate for a long time, with ongoing discussions about its importance and practicality. Leading scholars have explored the complexities of this concept, assessing whether it is a valid part of translation or merely an "illusory" idea. This paper seeks to emphasize key theories in the field, particularly focusing on the 4Es Standard. The 4Es Standard is a framework used in business translation to ensure that translations are of high quality and effectiveness. It provides a set of criteria—Effectiveness, Efficiency, Economy, and Equity—that help guarantee that translations meet both business needs and professional standards
FEATURE EXTRACTION AND SVM ANALYSIS FOR ACCURATE IDENTIFICATION OF INDIVIDUAL SIKA DEER: A DEEP LEARNING APPROACH
Full text linkAccurate identification of individual wildlife is essential for effective species management and conservation. However, it becomes particularly challenging when unique features, like spot shapes and sizes, serve as the sole distinguishing characteristics, as in the case with Sika deer. This research aims to enhance the process of identifying individual Sika deer by employing a series of deep learning pipelines encompassing object detection, tracking, and automatic segmentation techniques facilitated by segment anything modules based on object detection. Through automatic segmentation contours are generated and various features including color channels, textures, and geometric attributes of the masked Sika deer, were extracted. Subsequently, Support Vector Machine (SVM) analysis was conducted to establish decision boundaries for individual Sika deer identification. We analyzed 2799 image datasets containing images of seven individual Sika deer captured by three camera traps deployed in farmland of Hokkaido, Japan over a span of 60 days. During our analysis, we observed multicollinearity (VIF > 10) within the datasets. To address this, Principal Component Analysis (PCA) was conducted on the extracted features, wherein PCA1 and PCA2, which collectively accounted for over 80% of the variance, were selected for subsequent Support Vector Machine (SVM) analysis. Utilizing the Radial Basis Function (RBF) kernel, which yielded a cross-validation score of 0.97, proved to be the most suitable choice for our research. Hyperparameter optimization, facilitated by the GridSearchCV library, determined the gamma value of 10 and C value as 100. The OneVsRest SVM classifier achieved an impressive overall accuracy of 0.99 for both training and testing datasets of Sika deer images. This study introduces a precise model for identifying individual Sika deer using video frame, aiding conservationists and researchers in effectively monitoring and protecting this species
NOISE DISPERSION MODELING OF THE TERRITORY - OF THE AGRICULTURAL COMPANY AND THE RESIDENTIAL AREA
Full text linkThe mechanization of farm production, increasing traffic flows in towns and villages, and modernization of farm machinery have led to a rapid increase in acoustic discomfort zones. Noise levels in the living environment are a key factor in determining the comfort index. Therefore, there is a growing focus on studying noise processes. The article presents the company\u27s farm, which includes a newly designed cowshed, a liquid manure lagoon, a calf field camp, and a silage trench. The noise calculations consider the noise sources used in both the existing and project areas. The noise modeling was carried out using the CADNA A 4.0 computer program, and noise dispersion maps for Lday (12h) and Ldvn were modeled using ArcGIS 10.8 software. The simulations carried out in the article showed that the acoustic situation will change slightly after the implementation of the project compared to the current situation. The noise level at the noisiest location during the daytime will not exceed 35 dB(A), and no noisy activities will occur during the evening and night-time. However, activities conducted outside the territory resulted in a noise level of 57.5 dB(A) during the day, which exceeds the limit set by HN 33:2011
THE IMPACT OF NOISE IN THE CABIN OF AN AGRICULTURAL TRACTOR ON THE OPERATOR\u27S HEALTH DURING WORK WITH A FRUIT TREE SHAKER
Full text linkThe paper explores the influence of noise within the cabin of an agricultural tractor on the health of the operator during the operation of a semi-trailed fruit tree shaker. The research aims to determine the noise levels at various rotations of the power take-off shaft during the mentioned agro-technical operation and assess the potential negative impact on the operator\u27s health. Noise measurements were conducted on agricultural fields at the Barica Sabo Family Farm using two tractor models (John Deere 6110 MC and Hurlimann XT-910.4) in accordance with the prescribed standards HRN ISO 6394 and HRN ISO 5131. Measurements were taken on both the left and right sides of the operator in both tractor cabins under operational conditions, using equipment provided by Metrel, specifically the Multinorm MI 6201 EU device with the corresponding sound probe (Class B microphone). The highest equivalent continuous A-weighted sound level (LAeq) was measured during the operation of the power take-off shaft at 500 rpm for both tractors on the right side (John Deere, 76.7 dB) and the left side (Hurlimann, 77.2 dB). Furthermore, the highest time-averaged maximum sound level (LAFmax) was measured on the left side of the Hurlimann tractor at 79.7 dB at 500 rpm. It was determined that the measured noise levels did not exceed the permissible exposure limit values: L(EX,8h) = 87 dB(A), upper cautionary exposure limits: L(EX,8h) = 85 dB(A) and lower cautionary exposure limits: L(EX,8h) = 80 dB(A). Although the highest measured value (79.7 dB) is close to the lower cautionary limit (80 dB), it is assumed that the operator of the investigated tractors is not exposed to negative noise-related health effects
MOLECULAR DETECTION OF ACETIC ACID BACTERIA AT DIFFERENT STAGES OF WINE PRODUCTION
Full text linkAcetic acid bacteria (AAB) are common wine spoilage microorganisms associated with elevated levels of acetic acid in wine, which is a serious wine fault requiring winemakers’ attention. Timely detection of AAB, thought essential for efficient AAB control, is however challenging due to the difficulties of their isolation. Thus, it would be advantageous to detect them using molecular methods at all stages of winemaking and storage and prevent wine spoilage. In this paper, we analyzed wines samples of varieties grown in different regions with Protected Geographical Indication of the Republic of Moldova for the presence of Acetobacter aceti and Acetobacter pasteurianus by real-time PCR. Samples were collected after clarification and stabilization, before bottling. There was observed an uneven impact of environmental factors on relative quantities of A. aceti and A. pasteurianus in red and white wines, while A. pasteurianus was the predominant species during the period of monitoring
STOMATA DIMENSION AND PHYSIOLOGICAL PARAMETERS IN DURUM WHEAT (TRITICUM DURUM L.) GENOTYPES UNDER RAINFED CONDITION
Full text linkHeat stress and various precipitation regimes due to global climate change increase the importance of physiological studies in field crops. The relationship between stomatal behaviour and physiological parameters in plants is important in response to drought stress. The experiment was laid out to compare the stomata dimension and physiological parameters of advanced durum wheat genotypes under rainfed conditions. A total of 25 durum wheat genotypes were examined during the 2018-2019 growing cycles in the Edirne location in the Trakia region, Türkiye. The experiment was conducted in a randomized complete block design (RCBD) with four replications. Stoma area, perimeter, width and length were made on samples taken during the heading stage of the flag leaf. Plant height (PH), Chlorophyll content (SPAD), canopy temperature (CT) and normalized difference vegetation index (NDVI) were taken at heading stages. The results of variance analysis showed significant differences (p<0.01) among genotypes for stoma area, perimeters and width. According to stoma dimensions, the widest stomata were determined in G5 and G18 genotypes. Stomata number is an important parameter for drought tolerance and the highest stomata number was determined in G4 and G5 genotypes in the study. These genotypes may be more tolerant to drought due to the high number of stomata. Flag leaf area differed among genotypes. Genotypes G14, G1, G8 and G2 had higher FLA. The chlorophyll content is an important parameter for photosynthesis. The highest chlorophyll content was measured in G25, G23 and G19. Low canopy temperature is important for drought tolerance. The lowest canopy temperature was scaled by genotypes G15 and G9. Genotype G8 had a higher NDVI. It can be stated that these genotypes are more tolerant to drought than others. Different correlations were determined between stoma measurements and physiological parameters. A negative correlation was determined between NDVI and stomatal parameters in genotypes. The significant differences between genotypes showed the importance of stomatal characters for selection in adaptation to different environments. The adaptation of genotypes to different environments is determined by their physiological responses. Significant differences were determined between genotypes in the physiological parameters examined in the study, except for canopy temperature
VIRTUAL REALITY TECHNOLOGY TO RAISE AWARENESS OF OCCUPATIONAL HAZARDS ON CONSTRUCTION SITES
Full text linkSafety is of utmost importance to the Abu Dhabi City Municipality, particularly for those working in the construction sector. Given the high-risk and critical nature of activities in this industry, it is essential to provide proper training to increase awareness and promote safety among the workforces. This paper aims to test the hypothesis that "VR Training on Construction Sites is an effective tool to prevent accidents and undesirable events" by comparing its effectiveness to traditional training methods in terms of coaching construction workers and improving their abilities to identify and assess risks. The framework in this paper includes understanding the root causes of incidents through the analysis of historical incident data. Based on this analysis, 15 training scenarios were developed using virtual reality technology to provide workers with an engaging and interactive training experience that enables them to visualize site risks better and effectively understand safety precautions. After the VR training sessions, participants were asked to evaluate their training experience through a short questionnaire to measure the effectiveness of VR technology in safety training. In addition to the training assessment, "incident trend analysis exercises" were carried out after delivering the VR training courses to measure the effectiveness of the VR training and its impact on the safety culture, overall workers\u27 hazard identification, and awareness of work site risks. The study showed a positive attitude among participants toward VR safety training and a tangible reduction in the number of undesirable events recorded over a certain time span. These findings suggest that VR technology can be a valuable tool for promoting safety and preventing accidents in the construction industry