: The objective of this study was to test the inhibitory effect of five newly synthesized arylmethylene-bis(3-hydroxy- 5,5 -dimethylcyclohex-2-en-1- one) derivatives. The structural characterization and stereochemistry of synthesized compounds were deduced from analyses of experimental FT- IR, 1 H, 13 C NMR spectra and theoretical methodology of DFT study based on the global chemical reactivity indices calculated using the 6- 31G** level of theory. the stability of the newly synthesized compounds, the reactivity descriptors obtained at B3LYP level ( E gap , dipole moment, μ , η , ω ) were computed. The docking study and the selected quantum chemical descriptors computed for compounds 1 −5 exhibit a good agreement. The strongest inhibitors showed 25 to 30 % inhi bition of tyrosinase activity. Results were supported by docking studies of the binding of the strongest inhibitors to the enzyme. The results suggest that tetraketones of this type, due to their tyrosinas e inhibitory effect, represent potential agents in the treatment of various types of melanomas and skin hyperpigmentation. 189.42 3´), 190.75 - C -1´). Anal. Calcd. mass fractions of elements, w / %, for C 23 H 26 Br 2 O 4 ( M r = 524.02) are: C = 52.49, H = 4.98; found: C = 52.75, H = 5.02.

Optical character recognition represents the mechanical or electronic conversion of handwritten, typed or printed images into coded text. Optical character recognition is widely used as a form of data entry from records that have been printed, and it can include invoices, bank statements, passports and many more. In the research, Optical character recognition reads data from the Re-Captcha dataset of images, converts them into strings, and these strings are used for testing, training and calculating prediction accuracy. The methodologies used are Convolutional neural network and Recurrent neural network. The convolutional neural network consist of neurons that receive data and group them according to similarity. A recurrent neural network cycle can be created between the connections of nodes, allowing the output from nodes to influence the subsequent input to other nodes. For data were used Re-Captcha images, and for the prediction of characters from images was used TensorFlow with Keras. The best results that are produced can be compared between first and last result, where the loss for first result was 20.63 and value loss was 16.45, while last result has loss of 0.56 and value loss of 2.96

There is a growing technological development in intelligent teaching systems. This field has become interesting to many researchers. In this paper, we present an intelligent tutoring system for teaching mathematics that helps students un-derstand the basics of linear programming using Linear Program Solver and Service for Solving Linear Programming Problems, through which students will be able to solve economic problems. It comes down to determining the minimum or maximum value of a linear function, which is called the objective function, according to pre-set limiting conditions expressed by linear equations and inequalities. The goal function and the limiting conditions represent a mathematical model of the observed problem. Working as a professor of mathematics in high school, I felt the need for one such work and dealing with the study of linear programming as an integral part of mathematics. There are a number of papers in this regard, but exclusively related to traditional ways of working, as stated in the introductory part of the paper. The center of work as well as the final part deals with the study of linear programming using programs that deal with this topic.

The 2030 Agenda for Sustainable Development builds upon the Millennium Development Goals while at the same time reaffirming the conclusions of the leading instruments in the field of human rights and international law. The 17 integrated and indivisible sustainable development goals (SDGs) require innovation through digitalization and legal activities. Digitalization and new technologies are crucial for SDG 8, 9, and 16. SDG 16: Peace, justice, and strong institutions directly focus on law. While SDG 16 does not directly mention it, digitalization is essential in achieving its specific targets. Examples include concepts of e-government (including data protection and public access to information), e-commerce, equal access to dispute resolution mechanisms in cyberspace, and enforcement of non-discriminatory laws for sustainable development. The right to a healthy and sustainable environment encompasses economic, social, and environmental aspects that SDGs capture. To achieve these goals, the 2030 Agenda relies on international law instruments. The right to a healthy and sustainable environment is developing towards an internationally recognized human right. As environmental goals do not recognize national borders, international law plays a key role. International environmental law should facilitate a broader application of existing clean technologies through the transfer of technology and examine the development of new technologies as to its compatibility with a sustainable environment. Moreover, the human right to share in scientific advancement and enjoy its benefits embodies equal access to technology. The legal enforcement of sustainable goals in the private and governmental sectors remains one of the main concerns of climate change.

The question of a general part for EU Private International Law has attracted research and debate among PIL scholars long before the EU started to codify this legal field after the Amsterdam Treaty. However, the EU has made no attempt to make use of the existing research to adopt a comprehensive regulation of the general part of EU PIL and has adopted sector-specific regulation with inconsistent regulation of several general institutes. For the occasion of the anniversary of the Zeitschrift für Europarechtliche Studien this paper revisits the topic to answer the question which institutes of PIL should be codified in a general part of EU PIL. The conclusions are made based on four criteria: which general institutes of PIL are already regulated in the EU; are they generally applicable to all special parts of EU PIL; what is their practical relevance; and is there a need for their uniform regulation. The paper analyzes the discrepancies between existing general institutes of EU PIL and offers brief discussions on the possible formulation of some of the institutes for the general part.