This paper explores the concept of Decentralized Autonomous Society through the lens of Large Language Models focusing on the transformative potential of integrating these technologies. The paper on the role of Large Language Models based agents in providing a versatile, responsive, and contextually intelligent resource within a Decentralized Autonomous Society, fostering intellectual exploration, assisting in complex tasks, and aiding real-time problem solving. One delves into their integration with Decentralized Autonomous Society infrastructures, including robotic and automated systems. While promising, the integration of Large Language Models and their agents into a Decentralized Autonomous Society poses several challenges, including infrastructure and connectivity limitations, information accuracy, artificial intelligence bias, privacy and data security, and ethical concerns. This paper critically discusses these issues and proposes potential solutions. Through the lens of the Decentralized Autonomous Society construct, the paper considers the future possibilities and implications of artificial intelligence, where self-sustaining, digitally-empowered communities leverage artificial intelligence as a cornerstone of their collective intelligence.

The European shallow lakes used primarily for tourism are subjected to a large amount of environmental pressure, and climate change is adding new problems and aspects to them: a complex analysis of processes and connections is necessary to make appropriate decisions and strategies. In this reseach research, using literature review and precedent analysis, it has been reviewed the climate risk of a Central European lake, as well as the natural conditions and landscape change processes determining its sensitivity. It was analysed the ecological and economic effects of the record low water levels of 2021-22, focusing on processes. It was determined which of the current land uses can be considered risky or sensitive in terms of climate change. It was found that natural processes are uniformly leading towards pre-regulation character, low water levels facilitating the regeneration of flora and fauna. However, the dominant land use is dependent on artificially elevated water levels, and therefore serious economic problems have arisen. Beaches, bathing, and angling tourism are the most vulnerable to climate change.

Research work involves the instrumental analysis of the change in color (L*, a*, b*) and the sensory characteristics of the Simmental beef, parts of the carcass: T-bons, received from the local farm, during the dry-aging period for 0, 14, 21, 28, 35 days and for the roasted aged beef at high and very high temperatures. The analyzed beef samples presented uniform results for the chromatic parameters during the dry-aging period, being influenced by the values of meat pH and the water-holding capacity, namely: for the dry-aged meat, the L* parameter values indicate an increase in the brightness of the meat, for the a* parameter, decreasing values were established, which indicates a reduction in the oxygenation of the meat, a reduction of oxymyoglobin in meat, responsible for the intense red color and for the b* coordinate a slight decrease in values was observed, oriented to yellow color. For roasted beef parameter L* decreases due to the reduction of the beef moisture during the roasting process. The redness of beef a* decreases in intensity primarily depending on the beef aging period but also with the increase in the roasting temperature, due to the drastic degradation of myoglobin. The b* parameter also decreases, possibly due to the increase in metmyoglobin content during heat treatment. The sensory characteristics of the dry aged beef have been considerably improved due to the increase in the pH of the meat, which attracts the activation of meat-specific enzymes that contribute to the accumulation of secondary compounds with a major impact on the beef taste, aroma and juiciness. These aspects are later reflected on the sensory properties of the roasted aged beef, being intensified by the heat treatment process.

In our country, there is a large variety of foundation soils, some of them having inferior characteristics to those necessary for the proper support of a communication path. This raises some of the most common problems in the field of road infrastructures, namely the sliding of slopes in the area related to road construction. This phenomenon appears more and more frequently, especially after some periods with accentuated atmospheric instability, sometimes leading to the partial inability to use the affected infrastructure sector. In some cases, the development of this phenomenon can lead to the traffic blockage and the isolation of the communities in the area, to the destruction of a well-defined road sector and even to the loss of human lives. In order to maintain the quality requirements imposed by the law and to limit the risk of reaching the limit state of normal operation, respectively of compromising the structure, the administrators and the staff who are directly involved in the maintenance and the expertise of the affected area, achieve direct examination works or investigation by means of specific observation and measurement. In the current practice, these works are part of the technical expertise of the affected area, being made by a specialized team, led by an authorized technical expert in the field.

The article deals with the actual problem of reducing air pollution by internal combustion engines of public transport in urban and suburban traffic through the use of battery trolleybuses for passenger transportation. A method is proposed for calculating the capacity of batteries for the autonomous movement of trolleybuses, which can be used to calculate the required capacity of trolleybus batteries for use on city bus routes partially passing under the trolleybus overhead contact wires. The calculation of the required capacity of the lithium iron phosphate (LFP) battery for the operation of the battery trolleybus on the real bus route of the Chisinau municipality has been carried out.

Climate change, drought and high temperatures lately have led to the need to increase the adaptation capacities of plants to these changes. The purpose of the research is to gain knowledge regarding the influence of the biologically active substances Reglalg (compound of algal nature) and Biovit (compound of humic nature) on plant development, productivity and adaptation of plants to new climatic conditions. The research was based on decision support systems, machine learning and graph databases. These systems allow in-depth processing of unstructured data and making the necessary decisions. In this sense, an intelligent model was developed for the processing of biological data as part of a Decision Support System. For data analysis and knowledge generation, a graph database was developed to determine relationships and connections between entities, phenomena or events. Graphs allow the representation of complex information in a simple and intuitive way, which makes it easier to perform and analyze them. The use of Machine Learning methods allows the highlighting of laws and interactions between different elements, which can lead to the discovery of patterns and trends that can be easily identified. The paper presents the structure and functions of some components of the decision support system for the study of nitrogen content in soybean.

The quantity of motor-bikers has dramatically expanded in Bangladesh, with the presentation of the ridesharing business. Consequently, crashes involving a motorcycle with fatalities and injuries are also increasing. One of the proven most effective safety measures for a biker is the use of a helmet. But there is no study on the use of helmets and the attitude of users to use the helmet. This research conducts an in-depth analysis of motorcycle safety risk using reported crash records as well as a comprehensive questionnaire survey among the bikers. The study also explores helmet usage attitude and evaluates the standard of the helmet being used. Overall, around 72% self-proclaimed they do not do wrong practice while riding a motorcycle. However, more than one-fourth of motorcycle drivers/riders misbehave or ill practice at different levels either often or always. Concern authorities could gainfully use the findings to develop motorcycle risk management strategies. Journal of Engineering Science 13(2), 2022, 11-20

In this paper, various solutions of the stationary Navier-Stokes equations, which describe the planar flow of an incompressible liquid (or gas), are determined, i.e., solutions containing the components of the velocity of flow – the functions u, v and the created pressure – P. The paper contains three proven theorems, as well as various examples and particular examined cases. Applying Theorem 1, we can find various solutions, where the velocity components represent the imaginary and real parts of a differentiable function of a complex variable. Theorem 2 allows us to determine solutions, where the velocity components are expressed by the partial derivatives of the solutions of Laplace’s equation of a special form. It is to be mentioned that these theorems give us solutions that do not depend on the viscosity parameter λ. In theorem 3, an original method for obtaining a series of solutions of the Navier-Stokes equations is presented, in which the viscosity coefficient λ participates explicitly; these solutions cannot be obtained by applying Theorems 1 or 2. The paper contains a large number of particular cases examined and examples of exact determined solutions.

A degenerate quantum plasma system (DQPS) consisting of arbitrary number of degenerate light (electron, proton, neutron, etc.) and heavy (light nuclei/element, heavy nuclei/element, etc.) particle species is considered to investigate the spherically symmetric perturbation (both linear and nonlinear) of self-gravitational field. The fundamental characteristics (amplitude, width, etc.) of small amplitude self-gravitational potential structures, which are found to be formed in the considered plasma system, are examined by the reductive perturbation technique. The derivation and numerical analysis of the modified Korteweg-de Vries (mKdV) equation are obtained. The analytical results are applied in astrophysical compact objects like white dwarfs and neutron stars, which are the examples of DQPS. Journal of Engineering Science 13(1), 2022, 97-104

Mayur River, locating north western side of Khulna, has enormous significance from numerous points of views like water reservoir, navigation etc. Unfortunately latrge scale water quality degradation took place due to pollution as a result of human interruption, unplanned and untreated crude dumping of domestic, industrial and household waste into it. The aim of this study are to carry out the temporal and spatial water quality assessment of selected locations of Mayur River. The water quality was found “Very Bad” in March-2019, April-2019 and May-2019 from station 1 to station 8 except station 4 in June-2019. From July-2019 to February-2020 the water quality was found “Bad” with some exception like station 6 in February-2020. For all the stations (S1 to S8) the regression equations indicate upward regression line and the R2 values show the plotted data fits the regression model ranging 34.28% to 64.21%. Journal of Engineering Science 13(1), 2022, 89-96