Journal of Marine Technology and Environment 2024 Vol. 1

Research is a form of knowledge whose content is given by the "creation" resulting from human curiosity, or better said, research activity. Scientific research is based on scientific knowledge and is a continuous search carried out within a complex process, the content of which is given by "scientific creation". The researcher's opinion is actually his answer, written in the form of a narrative, the content of which presents, in a logical and fluent structure, the staged development of the research activity, as well as the conclusions and results obtained as a result. When we discuss about types of research we are actually discussing different approaches that researchers can use to research a problem, a phenomenon or even a process. The methodology used in a research activity is often determined by the type of research being addressed. Therefore, there are different types of research, and each of them is conducted for a specific purpose, scope and type of data.

This experimental research engages in an investigation of sediment quality, with a focus on the identification and quantification of hydrocarbons and other contaminants that may adversely affect the health of the marine and terrestrial ecosystem in the Black Sea region. The purpose of this experimental research is to contribute to the understanding of the dynamics of hydrocarbon pollution and its impact on the marine and terrestrial environment in the Black Sea area.

In various fields such as Oceanography, interpolation methods are pivotal in generating continuous surface data from discrete point data. This research endeavors to conduct a comprehensive comparison and evaluation of deterministic interpolation techniques, including Radial Basis Function (RBF), Inverse Distance Weighting (IDW), and geostatistical methods like Kriging Universal (KU) and Kriging Ordinary (KO), in the context of mapping sea surface temperature (SST) within the Alboran Sea. Among these methods, the KO interpolation method emerges as particularly promising, boasting a Root Mean Square Error (RMSE) of 0.035 and an impressive coefficient of determination (R²) approaching unity (0.999). Furthermore, the cross-validation results reveal that the KO method not only provides the most accurate estimates but exhibits minimal bias, as evidenced by a mean error close to zero. These findings not only contribute to the field of SST mapping but also have broader implications for the interpolation of other climate parameters.

The purpose of this article is to draw attention to a potential environmental effect of the Constanta Metropolitan Area's growth. In order to accomplish this goal, the proposed objectives were as follows: measuring the concentration of several environmental variables in three different locations in the Constanta Metropolitan Area as well as assessing the air quality; comparing the measurement results with the hourly records of pollutant concentrations in various locations within the area of interest; and assessing the impact of human activity on the environment. In order to conduct this research, measurements were made with an Air Quality Monitor model JSM-131 and data recorded and provided by the National Air Quality Network and uRad Monitor on hourly concentrations of some environmental parameters in the area of interest were used. Metropolitan areas, which are defined by dense populations and activity centres, can preserve environmental quality by implementing local policies that are tailored to the specific demands of the community. This necessitates identifying and continually maintaining monitoring on local environmental hazards.

The management of public order events is a complex task that requires a deep understanding of crowd psychology and effective intervention strategies. This paper provides an analysis of collective behaviour and the key factors that can influence the behaviour of crowds during public order events. It also explores the role of law enforcement agencies and other public authorities in managing public order events and the importance of effective communication strategies. The paper emphasizes the need for a multi-disciplinary approach that incorporates insights from psychology, sociology, and other social sciences in the development of effective strategies for public order management. It argues that a better understanding of the dynamics of collective behaviour can help law enforcement officers to prevent or manage potentially dangerous situations during public order events. Effective communication is another key aspect of public order management, and the paper highlights the importance of clear and respectful language in establishing a rapport with the crowd and reducing the risk of confrontations. It also emphasizes the need for cultural sensitivity in communication strategies, especially in multicultural societies where different groups may have different norms and values. Overall, the paper concludes that effective public order management requires a deep understanding of the psychology of crowds, effective communication strategies, and a multi-disciplinary approach that incorporates insights from various social sciences

This paper presents how A.I. can be used to create and develop useful applications, but also how data from a certain area of A.I. can be hijacked and repurposed in other areas of A.I, sometimes without the prior consent of the users, or even worse, information can be even hacked and used for evil purposes. It also shows how this fact can jeopardize and infringe upon the rights of users giving up their sensitive personal data in internet.

This paper concerns the common features exhibited by geniuses and the ingredients which forms the recipe for a genius. It analyses the creativity of some of the most remarkable geniuses of mankind who have generated scientific theories and inventions, which brought our civilization further and further, in both, technology and in understanding our Universe. It presents what these geniuses had in common and what differentiated them from the common people, and also how they succeeded to achieve what they created. In its last section, this paper analyses the question whether A.I. could be brilliant or not and gives extensive explanations for the verdict regarding the potential brilliance of A.I.

Modern technologies require the development of new materials with exceptional properties. Machine Learning (ML) and Deep Learning (DL) techniques have become important tools for discovering new materials and predicting the properties of specific materials, such as glasses. In this paper, we used ML and DL techniques to predict the Young's modulus E of Calcium-Alumino-Silicate (CAS) glasses based on their chemical composition. We evaluated four different algorithms, including Polynomial Regression (PR), Random Forest (RF), K-Nearest Neighbors (KNN), and Multi-Layer Perceptron Regressor (MLPRegressor). We found that the PR algorithm provides excellent predictions without Cross-Validation (CV), while the MLPRegressor yields the best performance when CV is implemented.

PET (polyethylene terephthalate) is a common plastic substance used to make water bottles, carbonated drinks, juices and others. PET is durable and easy to transport, but can be difficult to degrade in nature. If not recycled, PET can remain in the environment for hundreds of years, polluting the sea and other environmental areas. The work presents the creation of an smart device, which can easily, with low costs, be transformed in laboratory conditions, respecting the steps of the industrial technological process, of polyethylene terephthalate (PET) into recycled PET. The final goal is to research the mechanical characteristics of recycled PET. The method used is Computer Assisted Thermoplastic Extrusion, the main parameters of the entire technological process being permanently monitored. The results of mechanical and thermal tests were demonstrated that recycled PET can be transformed into filament for 3D printing of finished products that have properties similar to those obtained industrially.

The paperwork has as purpose improvement of anti-explosive properties of liquid fuels for spark ignition engines through nitrate addition and quantitative determination of the octane number resulting from the CFR ASTM Waukesha engine support.

Celluloses as a part of biomass can be considered a source of cheap, renewal energy that can be transformed in energy directly through ignition or incorporating it is an usual fuel.