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This study aims to explore the perceptions and expectations of the undergraduate students toward the teaching-research-practice nexus (TRPN) and propose a framework for the integration of nexus components at each undergraduate level. It also intends to identify whether students' views differ depending on their specialization, year of study, academic performance and gender.

Quantitative analysis was employed to evaluate the views of 460 undergraduate students from faculties of education in the Southeast Anatolia region of Turkey. The data were collected through the survey with a five-point Likert scale. A t-test and one-way ANOVA were used for the analysis of data.

Significant differences in the perceptions and expectations of the undergraduate students in relation to the TRPN suggest a gap in their satisfaction with the present teaching approach. The factors influencing students' perceptions include specialization, year of study and academic performance. Student expectations of the TRPN are affected by their specialization and GPA. The influence of gender was not confirmed.

The lack of previous research on the TRPN creates a need for further development in this area of study. The sample limited to education faculty in one region precludes generalization of the findings beyond the study setting.

The present study provides preliminary information for education faculties on how to meet students' learning expectations through proportional integration of the TRPN components into the undergraduate curriculum.

The study contributes to the ongoing debate and scarce literature on the TRPN at the undergraduate level and proposes an original framework for linking teaching, research, and practice.

The object of this research is the reconstruction of the existing legal response by European Union states to the phenomenon of immigration. It seeks to analyse the process of conferral of protection.

One main dimension is selected and discussed: the case law of the national courts. The study focuses on the legal status of immigrants resulting from the intervention of these national courts.

The research shows that although the courts have conferred an increasing protection on immigrants, this has not challenged the fundamental principle of the sovereignty of the states to decide, according to their discretionary prerogatives, which immigrants are allowed to enter and stay in their territories. Notwithstanding the differences in the general constitutional and legal structures, the research also shows that the courts of the three countries considered – France, Germany and Spain – have progressively moved towards converging solutions in protecting immigrants.

The research contributes to a better understanding of the different legal orders analysed.

Under this heading are published regularly abstracts of all Reports and Memoranda of the Aeronautical Research Council, Reports and Techical Memoranda of the United States National Advisory Committee for Aeronautics and publications of other similar Research Bodies as issued

The widespread use of washing machines in textile dyeing and finishing boosts product quality while leading to significant wastewater production. This wastewater poses environmental risks due to the textile industry's high pollution levels and water consumption. Sustainability hinges on minimizing water usage and treating wastewater for reuse. This study employs Matlab R2020a and Python 2023 to model experimental designs for treating textile production wastewater using the Fenton oxidation method, aiming to address sustainability concerns in the industry.

The Fenton oxidation process's efficacy and optimal operating conditions were determined through experimental sets employing the Box–Behnken design. Assessing machine learning algorithms on the data, Matlab R2020a utilized an artificial neural network (ANN), while Python 2023 employed support vector regression (SVR), decision trees (DT), and random forest (RF) models. Evaluation of model performance relied on regression coefficient (R2) and mean square error (MSE) outcomes. This methodology aimed to refine the Fenton oxidation process and identify the most efficient parameters, leveraging a combination of experimental design and advanced computational techniques across different programming platforms.

The study identified optimal conditions: pH 3, Fe+2 concentration of 0.75 g/L, and H2O2 concentration of 5 mM, yielding 87% COD removal. The Box–Behnken design achieved a high R2 of 0.9372, indicating precise predictions. Artificial neural networks (ANN) and support vector regression (SVR) exhibited successful applications, notably achieving an R2 of 0.99936 and low MSE of 0.00416 in the ANN (LOGSIG) model. However, decision trees (DT) and random forests (RF) proved less effective with limited datasets. The findings underscore technology integration in treatment modeling and the environmental imperative of wastewater purification and reuse.

This study, in which water use and wastewater treatment are evaluated with technological integration such as machine learning and data management, reveals how to contribute to targets 6, 9, 12, and 14 within the scope of UNEP 2030 sustainable development goals.

BIOMEDICAL CYBERNETICS The University of Illinois (U.S.A.) anatomic path‐ology natural language dictionary, called LEXICON, has evolved over a nine‐year period through several organizations and updates to its present form. It is the result of scanning over one million words of narrative text from tissue examination request forms and surgical pathology reports. The text is passed into individual words which are looked up in LEXICON and flagged by action codes which determine usage in constructing a KWIC index file and an on‐line database retrievable by keywords.

Like it or not, change is inevitable if you are to survive. Far better to instigate change than allow other people to inflict it on you. To anticipate the future has to be good to allow time to implement change rather than having to react to it. This appears quite simple, but is it? This special themed issue of Management Decision contains a number of examples of how organizations have managed change. Lessons can be learned from other industries than your own with regard to best practice and basic principles which can then be applied to your own organization..

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.