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Konceptualizacija želje putem izvornih domena GLADI i ŽEĐI u srpskom i engleskom jeziku
No full textU radu se ispituje konceptualizacija želje putem izvornih domena GLADI i ŽEĐI kroz analizu polisemije jednog skupa leksema u srpskom i engleskom jeziku koje označavaju pojmove iz ovih domena. Analiza je izvršena na primerima u kojima su razmatrane lekseme upotrebljene u metaforičkom značenju u reprezentativnim korpusima srpskog i engleskog jezika. Pokazuje se da se u oba jezika javljaju pojmovne metafore ŽELJA JE GLAD i ŽELJA JE ŽEĐ za konceptualizaciju želje, koje se dalje mogu specifikovati prema aspektima želje koje strukturiraju, kao što su želja za posedovanjem materijalnog, za ljubavlju/naklonošću, za duhovnim, za ekskluzivnim ili stimulativnim, za postignućem u sportu, za (političkom) moći, ali i želja za destruktivnim. Analizirane lekseme koje se odnose na pojam sitosti proširuju značenje u skladu sa metaforom (APSOLUTNO) ODSUSTVO ŽELJE ZA NEČIM JE SITOST. U zaključku se dobijeni nalazi razmatraju u svetlu sličnosti i razlika između dva jezika i porede se sa rezultatima ranijih istraživanja.The paper focuses on the conceptualization of DESIRE via the source domains of HUNGER and THIRST. We have analysed the polysemy of one set of lexemes in Serbian and English that denote terms from these domains (S: gladan, glad; žedan, žeđ; sit, sitost, zasićen, zasićenost; E: hungry, hunger; thirsty, thirst; satiated, fed up, satiety), using the framework of cognitive semantics, which views polysemy as motivated by different conceptual mechanisms, most notably, conceptual metaphor. The aims of the paper are the following: (1) to note general trends in the conceptualization of DESIRE via the source domains of HUNGER and THIRST in two analyzed languages and to formulate the conceptual mappings that underlie the conceptualization of different aspects of DESIRE structured via these source domains; (2) to compare the findings in Serbian and English; and (3) to supplement the findings of previous studies on this topic. The analysis was performed on the examples from the representative corpora of Serbian and English. Research findings indicate that the polysemy of the examined lexemes that express the feeling of hunger, thirst and satiety in Serbian and English is metaphorically motivated. Conceptual metaphors DESIRE IS HUNGER and DESIRE IS THIRST are present in both languages for the conceptualization of DESIRE. These metaphors can be further specified according to the aspects of DESIRE that they structure, such as the desire for material possessions, the desire for love/affection, the desire for the spiritual, the desire for the exclusive/scarce and the desire for stimulating experience, for achievement in sports, for (political) power, but also the desire for the destructive. On the other hand, the analyzed lexemes related to the concept of satiety extend their meaning in accordance with the metaphor (ABSOLUTE) ABSENCE OF DESIRE FOR SOMETHING IS SATIETY. Serbian and English have similar linguistic manifestations of the afore-formulated conceptual metaphors
The Taxonomy of Agricultural Residues for Sustainable Eco Building Materials, Biomass Plant and a Hybrid Heat Pump
No full textThere are practical endorsements that agricultural residues have been utilized as additives for soil stabilization, advancement of geotechnical properties, concrete and cement supplements, road construction, etc. Sustainability is multifaceted and has to be retained. One kilogram of cement induces 800 kg of CO2 gas. Over 50 % of all biomasses in the world are made of crop residues. The solid biomass constitutes around 50 % of overall production, liquid and gaseous 25 % each individually. According to certain EU documentation, in 2050th, it is going to be feasible to produce 1000 TWh of biomethane. This manuscript serves as a technical paper - a reminder of how building materials can be sustainably composed and as a technical map of binding the biomass plant and a hybrid heat pump. The novelty of the manuscript is summing up all research on the utilization rate of agricultural residues for sustainable eco-building materials upon now
Green Transition in Mining and AI Methodological Support in Environmental Restoration
No full textThe transition to green energy and sustainable operations poses a key
challenge for the mining industry, which has traditionally been known for its negative
environmental impact. This manuscript researchs the concept of the "green transition"
in mining, focusing on the application of artificial intelligence (AI) in methodological
support for environmental restoration. The aim is to identify and analyze technological
and methodological innovations that can facilitate the shift of mining operations towards
more environmentally sustainable practices. The current challenges in the mining
industry are analyzed, including carbon dioxide emissions, water pollution, and land
degradation. Successful green transition projects in mining are presented, highlighting
how the use of renewable energy sources and material recycling can reduce the
environmental footprint of mining activities. The role of artificial intelligence in
supporting these efforts is important. AI technologies, including machine learning and
data analytics, can significantly enhance environmental monitoring and management
processes. Specific examples of AI applications in predicting environmental risks are
presented, optimizing resource use, and developing strategies for ecosystem restoration.
AI algorithms enable more precise and efficient pollution monitoring, identification of
optimal restoration sites, and assessment of the long-term effects of mining activities on
the environment. Integration of AI into the mining industry can not only improve
environmental performance but also contribute to economic benefits through cost
reduction and increased efficiency. This paper emphasizes the need for an
interdisciplinary approach that includes collaboration between managers, engineers,
ecologists, and AI experts to achieve sustainable development goals. Further research
and investment in these areas are crucial for the successful green transition of the mining
industry and the long-term preservation of the environment. This research contributes
to the understanding of the potential of green transition in mining and the role of AI in achieving sustainable environmental solutions, providing a foundation for future studies
and practical applications
Hydrogel Ionotronics for Soft Robotic Applications
No full textAmid the frontier of emerging soft machine technology, the advancement of wearable and implantable devices via soft sensors and actuators has surged to the forefront of research interest. Hydrogel-elastomer composite materials offer a unique flexibility, biocompatibility, and responsiveness that ideal for human machine interface devices. The transformative potential of soft, flexible materials is reshaping technology across healthcare, robotics, and more. This convergence of biology, materials, and robotics leads to wearable interfaces with novel functions. Sensors and actuators, essential for human-machine interaction, require thoughtful design for optimal adaptation. Our project aims to design advanced mathematical models to simulate the behavior of such hydrogel-based composite sensors and actuators. We will merge theory, computation, and results from experiments to overcome these challenges and develop reliable predesign procedures for such fit-for-purpose devices. Within the realm of hydrogel ionotronics, our emphasis lies on hydrogel-elastomer composites with the exceptional capacity to convert mechanical stimuli into electrical signal and vice versa. We aim to develop improved electro-chemo-mechanical computational models capable of capturing complex behavior of hydrogel-based composites. A special attention will be given to the development of novel models of multicomponent and cross-diffusion in hydrogels based on fractional derivatives along with the development of efficient numerical methods to simulate intricate actuator/sensor responses
Circular Economy and Sustainability Supported By Different Information Technology Models
No full textThe Information technologies (IT) have a crucial role in the integration of main environmental challenges and
criteria in circular economy.Sustainable developmentstays the paradigm of all processes and systems. This paper
presents a comprehensive review of the role of IT in advancing circular economy principles and fostering sustainable
development practices. Information technologies such as big data analytics, Internet of Things (IoT), blockchain, and
artificial intelligence(AI) are examined for their potential to optimize resource management, enhance supply chain
transparency, and facilitate the transition towards a circular economy model. Moreover, the paper explores how IT
solutions contribute to sustainable production and consumption patterns, enabling businesses and consumers to make
informed decisions that minimize negative environmental impact. Additionally, the synergies between IT and renewable
energy systems are discussed, highlighting their combined potential to drive sustainable development initiatives.
Furthermore, the challenges and opportunities associated with the application of IT in the context of circular economy
and sustainable development are outlined, emphasizing the need for interdisciplinary collaboration and policy support.
Overall, this review paper underscores the pivotal role of information technologies in promoting circularity, resource
efficiency, and environmental stewardship within the framework of sustainable development
Three-dimensional Numerical Investigation of Fluidized Bed Gasification in a Pilot Plant Gasifier: Fluid Flow
No full textFluidized bed combustion offers key advantages such as high efficiency, environmental friendliness, fuel flexibility, and load adaptability, making it suitable for various applications such as power generation, biomass gasification, and petrochemical processing. This study presents a numerical investigation of the gasification processes in a pilot-scale fluidized bed gasifier using a 3D computational model. The model simulates the complex turbulent multiphase flow within the real gasifier geometry of the pilot plant and focuses on the interactions between air and sand, as well as the temperature distribution. Initial numerical results show good agreement of fluid flow structure with experimental data. Future work will include combustion modeling, with the numerical results to be validated by experiments in the pilot plant. After model validation, the model will be used for similarity analysis to optimize the process parameters
Mathematical transformation for analytical solution of the rarefied gas flow in a variable cross-section microchannel
No full textSimple method for measuring and mapping of site-specific draft force during plowing
No full textThis paper presents and analyzes the procedure for indirect measurement of soil mechanical properties using strain transducers installed on the lower links of the
tractor and corresponding acquisition equipment, along with simultaneous use of the tractor unit positioning equipment in the field during tillage operation with a two-furrow
plough. Sensors are installed and calibrated according to measurement requirements and after the Finite Element Method (FEM) analysis of the tractor lower links. The
results obtained for the draft force longitudinal measurements are well consistent with expected results predicted by using the Goryachkin approach and ASAE Standard
D497.4. The presented method can be successfully applied to measure the draft force when performing any other operation in the field. Maps produced by measuring the
draft force are very useful in precision seeding in terms of varying seeding depth or soil amelioration. Such maps can be a useful layer in any other decision-making
considerations in precision agriculture
PETG as an alternative material for the production of drone spare parts
No full textMaterial selection is the main challenge in the drone industry. In this study, hardness, abrasive wear, impact resistance, tensile strength, and durability (frost resistance and accelerated ageing) were identified as important characteristics of drone materials. The additive manufacturing technology was used to produce the drone leg specimens and prototype. The suitability of PETG as a primary filament material in the design of the drone leg was investigated. Nine series were printed with different raster lines (0.1, 0.2 and 0.3 mm) and infill densities (30, 60 and 90%). Printed specimens were annealed in salt and alabaster, as well as immersed in liquid nitrogen. Series with raster line-infill densities of 0.1–30, 0.3–30, 0.1–90 and 0.3–90 were identified as the most interesting ones. Thermally treated specimens had better mechanical and durability properties, and infill density was found to be the most important printing parameter. Specimen annealed in salt with a raster line of 0.1 mm and infill density of 90% had the best results. Since ABS is the most common material used for drone leg production, its properties were compared with the PETG specimen, which showed the best properties. The potential of PETG as an alternative material was proven, while the flexibility, productivity and suitability of the leg drone design were additionally confirmed
Process system simulation of coupled pyrolysis disposal of domestic waste in coal-fired boiler and pilot study on dioxin emission
No full textThe disposal of domestic waste has become a critical and costly problem. Incineration for power generation is currently the primary domestic waste treatment method. Due to its small capacity and low parameters, domestic waste incineration is generally uneconomical and associated with significant risks to public health and environmental safety. The coal-fired power plants are generally characterized with huge capacity and high parameters, consequently resulting in much higher power generation efficiency with lower cost emission control. This indicates that co-disposal of domestic waste using existing coal-fired units may significantly reduce its treatment costs associated with the improvement of utilization efficiency and environmental risks. Base on this, a highly-flexible coupling of pyrolysis-pretreated solid waste in pulverized coal furnace is proposed in this paper, and field tests and numerical simulations have been carried out separately according to the process route. The results show that after coupling with pulverized coal boiler, domestic waste pyrolysis pretreatment unit can operate self-sustainably without external energy supply and the process route is feasible. Furthermore, the coupled co-combustion of domestic waste pyrolysis products and pulverized coal was simulated by fluent software. Compared with pure pulverized coal combustion, mixing domestic waste pyrolysis products can promote pulverized coal combustion in the furnace and help the pulverized coal boiler to burn stably at low load. The emission concentrations of NOx at the outlet of the furnace are 530 ppm, 545 ppm and 478 ppm respectively when pulverized coal is burned purely and mixed with 100 t/d and 200 t/d domestic waste. the NOx emissions could be reduced to a certain extent by mixing domestic waste. On the basis of previous research, the field test of coupling disposal of domestic waste by pulverized coal boiler was carried out, and the dioxin concentration in flue gas and fly ash was tested emphatically. The results show that when the amount of waste is less than 4 %, the concentration of dioxin in flue gas is 0.0107 ng TEQ/m3, which meets the latest emission standard of air pollutants in Shanghai coal-fired sludge power plant of 0.02 ng TEQ/m3. Low proportion of domestic waste will not increase the production and emission of dioxins. These studies show that it is feasible and promising to treat municipal solid waste with low coupling ratio by using existing coal-fired units