Abstract: Aquaculture plays a significant role in both economic development and food production. Maintaining an ecological environment with good water quality is essential to ensure the production efficiency and quality of aquaculture. Effective management of water quality can prevent abnormal conditions and contribute significantly to food security. Detecting anomalies in the aquaculture environment is crucial to ensure that the environment is maintained correctly to meet healthy and proper requirements for fish farming. This article focuses on the use of deep learning techniques to detect anomalies in water quality data in the aquaculture environment. Four deep learning anomaly detection techniques, including Autoencoder, Variational Autoencoder, Long-Short Term Memory Autoencoder, and Spectral-Residual Convolutional Neural Network, were analysed using multiple real-world sensor datasets collected from IoT aquaculture systems. Extensive experiments were conducted for temperature, dissolved oxygen, and pH parameters, and the evaluation analysis revealed that the Long-Short Term Memory Autoencoder anomaly detection method showed promising results in detecting anomalies for the temperature and oxygen datasets, while the Spectral-Residual Convolutional Neural Network demonstrated the best performance on the pH datasets. PubDate: Wed, 28 Jun 2023 00:00:00 GMT
Abstract: The educational process undergoes continuous evolution each year. These methods and tools have yielded positive outcomes, complementing the modern teaching practices being implemented in post-war Kosovo. It is noteworthy that our country has dedicated special attention to the field of education, actively seeking the best teaching methods that effectively bridge theory and practice. Consequently, the purpose of this research is to analyze the influence of auditory tools on the recognition of new vocabulary during English language classes. Additionally, this paper sheds light on the impact of auditory tools in motivating students to enhance their English vocabulary. This small-scale research employed both qualitative and quantitative methods. The qualitative approach involved ten English language teachers, while the quantitative method encompassed one hundred students. The Likert scale was utilized, consisting of ten questions, to gather responses from fifth-grade students. The researcher aimed to include both high and low English proficiency students to obtain a comprehensive understanding of the results regarding the use of auditory tools for English vocabulary acquisition. In conclusion, the final results indicate that English teachers utilize auditory tools to teach English vocabulary to a certain extent, highlighting the need for increased investment in supplying the targeted schools with such tools. PubDate: Wed, 28 Jun 2023 00:00:00 GMT
Abstract: Education, innovation, the labour force, and new businesses are considered the key important sectors (factors) for developed and emerging economies. The paper analyses are performed by using the Cobb Douglas production function for analysing the impact and correlation of these factors (variables) on the economic growth of Kosova during the period 2013 - 2021. The variables of public expenditures on education as a percentage of GDP and the labour force have shown a negative impact on growth and they have operated under decreasing returns to scale (based on the Cobb-Douglas function), while the variables of information, computer and telecommunication services (which refer to innovation technology) and new business creation have indicated a positive impact on growth and they have operated under increasing returns to scale (based on the Cobb-Douglas function). In addition, this paper summarized a few useful conclusions: first, public expenditure on education should provide an important contribution on growth; second, enhancing the role of education to improve and develop new knowledge for the labour force in Kosova, and at the same time, to adapt with new labour market demand; third, information, computer and telecommunication is one of the leading export sectors and this sector should provide higher potential and contributions on the economic growth of Kosova; fourth, new businesses creation should provide a significant contribution to increase economic growth. These variables in many countries have made a key value contribution to the economy by driving it toward sustainability, development, and growth. PubDate: Wed, 28 Jun 2023 00:00:00 GMT
Abstract: The purpose of this study was to explore teachers’ beliefs about multilingualism at universities in North Macedonia. Multilingualism as a concept is related to an individual’s ability to speak three or more languages. Given the educational and cultural globalization, multilingualism is crucial in many countries in the world. North Macedonia is an excellent example of multilingualism where different cultures live together and learn the languages of each other.At Universities across the country, teachers face different challenges while teaching multilingual classes. Linguistic competence in many local languages allows students to learn foreign languages easily and thus raises students’ global awareness and deepens knowledge about their future teaching career.The study analysed data collected from thirty EFL teachers from four different universities, Southeast European University, University of Tetova, Mother Teresa University and International Balkan University in North Macedonia. The research instrument used was the teacher survey which contained five domains: Teachers’ perspective on multilingualism; Students’ language learning knowledge; Language teacher collaboration; Learning materials, and other topics related to L2 learning and teaching.The study results revealed that teachers view multilingualism as a positive asset for the students, and they expressed that they have developed an approach which helps multilinguals to achieve their learning goals. One area which needs improvement is teacher collaboration, as they tend to collaborate regarding materials and textbooks, however, not willing to share their experience on teaching methods/strategies and challenges faced. PubDate: Wed, 28 Jun 2023 00:00:00 GMT
Abstract: The phenomenon of domestic violence is as old as humanity itself, but legal protection against violence both internationally and nationally begins to be provided very late. In the Republic of North Macedonia, until 2004, there was no legal protection of victims of domestic violence, nor was adequate sanctioning of perpetrators. Only since 2004, with the amendments and additions to the Criminal Code in the criminal sphere, and the Law on the Family in the civil sphere, the phenomenon of domestic violence began to receive due legal attention, with the application of provisions for the sanctioning of perpetrators and temporary measures protection for victims.The adoption of the Istanbul Convention (The Council of Europe Convention on Preventing and Combating Violence against Women and Domestic Violence) and its ratification in 2018 undoubtedly contributed to the Republic of North Macedonia undertaking a series of reforms in the field of domestic violence. So initially, in 2021, the new Law on domestic violence was adopted in harmony with the principles of the Istanbul Convention, whereas in 2023 the Law on the amendment of the Criminal Code was adopted. This law focused on changes in criminal offenses related to domestic violence and gender-based violation, as well as the incorporation of new criminal offenses in this regard.These legislative reforms, especially the amendments approved in February 2023 which are of particular importance in the prevention and fight against domestic violence and violence against women in the Republic of North Macedonia are the focus of this research. Here we have analyzed and commented the approved changes to the Criminal Code of RNM. PubDate: Wed, 28 Jun 2023 00:00:00 GMT
Abstract: The research paper elaborates on the main concepts and terminology of strategic planning in education, including all the steps of building a strategic plan with mission and vision statements. Furthermore, it analyses and compares some successful strategic planning case studies in education by identifying the strengths and some weaknesses. The final results of this inquiry serve as recommendations for positive changes and reforms in North Macedonian education.Furthermore, this research paper emphasizes the importance of the SMART strategic goals for improving education, articulated via the mission and vision statements. It is quite interesting that internationally accredited educational organizations like NOVA IS of Skopje have more successful improvement plans based on shared values and goals via their mission and vision. The implementation of their strategic plans is closely monitored and evaluated. Moreover, some successful educational reforms happened in Finland, Singapore, and Victoria, Australia, and their ministries of education are dedicated and accountable to aligning their mission and vision with all public schools in these countries. On the contrary, although the Ministry of Education of North Macedonia has clearly published the mission and vision statements, there is still a huge gap in the reality of implementation of those in all public schools, and rarely any school has a shared mission and vision on their web page. Browsing around, one primary school in North Macedonia, “Jan Amos Komenski” has recently started sharing their school’s mission and vision, values, and goals with the community which is a positive change toward SMART reforms. Strategic planning affects the improvement of learning and teaching; therefore it needs to be built inclusively and wisely. PubDate: Wed, 28 Jun 2023 00:00:00 GMT
Abstract: This study investigates the effectiveness of integrating short stories with task-based learning activities in English as a foreign language (EFL) class to promote vocabulary development and motivation among L2 learners. Six short stories were selected by the participants based on their interests, pre- and post-tests were conducted to evaluate vocabulary acquisition and a questionnaire was used to gather information about the perception of task-based activities after reading short stories among students. The study involved 60 intermediate level English students at the SEEU Language Center, assigned to either the control or experimental group. The experimental group completed post-reading tasks such as keeping vocabulary notebooks, reading circle discussions, sequencing activities, plot structure understanding, and group poster presentations after reading each story. The findings suggest that the incorporating engaging reading activities had a favorable effect on language learning. The experimental group exhibited greater vocabulary acquisition and comprehension than the control group. The follow-up tasks created a sense of achievement, improved communication and interaction among the students. According to the study, including comprehensible input through extensive reading along with constructive output from task-oriented exercises can effectively promote language progress and enhance students’ motivation thus effectively facilitating language development in L2 learners. PubDate: Wed, 28 Jun 2023 00:00:00 GMT
Abstract: Knowing that language is often used as a classifier of human intelligence and the development of systems that understand human language remains a challenge all the time (Kryeziu & Shehu, 2022). Natural Language Processing is a very active field of study, where transformers have a key role. Transformers function based on neural networks and they are increasingly showing promising results. One of the first major contributions to transfer learning in Natural Language Processing was the use of pre-trained word embeddings in 2010 (Joseph, Lev, & Yoshua, 2010). Pre-trained models like ELMo (Matthew, et al., 2018) and BERT (Delvin, et al., 2019) are trained on large corpora of unlabeled text and as a result learning from text representations has achieved good performance on many of the underlying tasks on datasets from different domains. Pre-training in the language model has proven that there has been an improvement in some aspects of natural language processing, based on the paper (Dai & Le, 2015). In present paper, we will pre-train BERT on the task of Masked Language Modeling (MLM) with the Albanian language dataset (alb_dataset) that we have created for this purpose (Kryeziu et al., 2022). We will compare two approaches: training of BERT using the available OSCAR dataset and using our alb_dataset that we have collected. The paper shows some discrepancies during training, especially while evaluating the performance of the model. PubDate: Wed, 28 Jun 2023 00:00:00 GMT
Abstract: This paper examines the way students developed their leadership potential by delivering an oral presentation and a project in an ‘English for Social Sciences’ course. By using a communicative approach, students were motivated to develop their leadership skills, which stimulated their learning and understanding at deeper levels. The survey was conducted with 14 students at undergraduate level, in their second year ESP Social Sciences 1 course; the students attend the Public Administration, International Communications, and Political Sciences departments of South East European University. The results showed that students attending this course showed the potential of developing leadership skills, and expressed positive attitudes and proficiency when delivering an oral presentation and project according to their preference in their field of study. Students were challenged and motivated to develop leadership skills, such as integrity and strength of character, that will prepare them for becoming potential leaders. PubDate: Fri, 30 Dec 2022 00:00:00 GMT
Abstract: The aim of this research is to analyze the political discourse and the language they used in public addresses provided by two former presidents of the United States, specifically, President Barak Obama and President Donald Trump. This research reflects on the material that has been collected for several months which aimed to contribute on the analysis of the corpus, distinctions and similarities, as well as their attitudes towards the public opinion. The objectives of this study are mainly empirical and theoretical. Considering the empirical objectives, this study seeks to explore, identify and categorize the most used words in a political speech according to the categories, form, function and meaning, whereas, the theoretical objectives of this study are to provide a description of the language that is used in major events from well-known politicians when aiming to capture people’s attention. Their rhetorical habits were examined, in every delivery of Mr. Obama’s political speech; his speeches were carefully and well-articulated throughout his 8 year political service in the oval office, portraying him as a kind person. On the other hand, Mr. Trump’s, as a non-politician, more as a businessman, political speeches throughout his campaign and 4 years in the office were very often seen as aggressive, unforeseen, and nonetheless straight to the point.This study covers the linguistic level analysis as well as semantic and pragmatic levels. Initially, the selected corpora were analyzed using the Ant Conc software regarding frequency of usage and then move into detailed analysis. PubDate: Fri, 30 Dec 2022 00:00:00 GMT
Abstract: The right to life includes the absolute freedom of the individual to live without being endangered or threatened, in conditions of freedom and promotion of interpersonal values. The purpose of the paper is to provide a general overview of the right to life, including the consequences of denying this right, as well as the main forms or distinguishing investigative characteristics in determining whether it is a case of murder or suicide. To provide the required data, a statistical method was used, through which the frequency of murder and suicide during the years 2019-2022 was presented. The comparative method was used to compare the findings on the change in number in relation to the prevalence of murders and suicides. The interview method was used to collect data on the prevalence of murders and suicides at the local level, as well as to determine the distinctive investigative features of these cases. The results of the research indicate that murder, aggravated murder and suicide have been decreased during the period 2019-2022, respectively the first six months of 2022. The results also indicate that investigators may face some difficulties such as the lack of cooperation of witnesses, the unintentional and intentional destruction of evidence, the movement of the victim’s body by changing its position, or even in some cases the lack of professionalism of the investigator. Based on the results, the investigators can distinguish whether it is a case of murder or suicide based on the position of the victim, the type of caused wound, bodily secretions, the past of the victim and the presence of a weapon at the scene. Investigators do not often face doubts as to whether the case is murder or suicide due to sufficient evidence. The research indicates that in some cases the investigators can also face those situations when the murder is staged with manipulative methods to look like suicide. PubDate: Fri, 30 Dec 2022 00:00:00 GMT
Abstract: Criminal responsibility refers to a person’s ability to understand his action, behavior at the time a crime is committed, what a person is thinking when he commits a crime or the expected result when a crime is committed. Crime is defined in terms of an act or omission (actus reus) and a mental state (mens rea). In this paper, is presented the general concept of irresponsibility and essentially reduced responsibility as a reason to be exempted from the punishment provided by the Criminal Code. Any perpetrator of a criminal offense who is capable of undertaking any action can be an active subject of a criminal offense, with the fact that regarding their sanctioning by the criminal system is concerned there are some restrictions related to age as well as dividing the perpetrators into responsible and non-responsible ones. For a person to be convicted of a crime, there must be evidence that proves his guilt, and that proves whether the perpetrator was in a regular state of mind or committed the criminal offense due to his irresponsibility.Another important element of this scientific paper is the historical aspects of how irresponsibility has been treated from the customary law to the present day, a huge focus gets also the treatment of the biological-psychological concept on one hand and the treatment of the legal concept on the other hand for this category of people. A criminal defendant who turns out to have been incapacitated at the time he committed a crime may be acquitted because of his incapacity, or he may be sentenced leniently because he was unable to understand the importance of his actions. Legally, the defendant must prove and convince the court that he was not able to understand his actions, or he is not able to distinguish right from wrong, or he must prove that he committed the act in uncontrolled impulses. PubDate: Fri, 30 Dec 2022 00:00:00 GMT
Abstract: Authors hip Analysis (AA) is a natural language processing field that examines the previous works of writers to identify the author of a text based on its features. Studies in authorship analysis include authorship identification, authorship profiling, and authorship verification. Due to its relevance, to many applications in this field attention has been paid. It is widely used in the attribution of historical literature. Other applications include legal linguistics, criminal law, forensic investigations, and computer forensics. This paper aims to provide an overview of the work done and the techniques applied in the authorship analysis domain. The examination of recent developments in this field is the principal focus. Many different criteria can be used to define a writer’s style. This paper investigates stylometric features in different author-related tasks, including lexical, syntactic, semantic, structural, and content-specific ones. A lot of classification methods have been applied to authorship analysis tasks. We examine many research studies that use different machine learning and deep learning techniques. As a means of pointing the direction for future studies, we present the most relevant methods recently proposed. The reviewed studies include documents of different types and different languages. In summary, due to the fact that each natural language has its own set of features, there is no standard technique generically applicable for solving the AA problem. PubDate: Fri, 30 Dec 2022 00:00:00 GMT
Abstract: This paper provides various perspectives of scholars on inclusive education throughout its history and the role of an inclusive teacher in inclusive education schools with specific focus on children with disabilities that attend regular classes with their non-disabled peers.The paper is based on the literature review of various research papers and studies that were published by prominent and specialized scholars, institutions and relevant organizations in the field of inclusive education, with a focus on disabled children and their rights to have equal chances for education in regular schools with their peers. The paper further reflects teachers experience and perception on the inclusive education process and the challenges they face in this regard.Finally, the paper provides various views on what is expected by an inclusive teacher and what type of support and assistance they need to get from other educators and teachers specialized in education of children with disabilities in order to meet children’s needs in the context. The paper also describes the importance of inclusive teacher’s collaboration with the school management, children’s parents and caregivers and other relevant specialists in order to understand the specific background of child’s type of disability with the aim of adapting his teaching methodology, tools and materials as per child’s specific needs for an individualized education planning if needed. PubDate: Fri, 30 Dec 2022 00:00:00 GMT
Abstract: The aim of the paper is to explore the discourse strategies of the Party of Labor of Albania to eliminate its enemies in the early years of establishing communism in the country. The contention is that PLA and its leaders made possible the elimination of thousands of people by normalizing the process. The enemies of the party were declared enemies of the people and as such, they had to disappear in one way or another, so that the integrity of the body politics could be preserved. The class enemy was considered a parasite that should be eliminated in the name of social prophylaxis. By using discourse analyses the paper will investigate the discursive strategies followed by the communist party and its leader when addressing the class enemy. Speeches of Enver Hoxha in Party Congresses, Plenums, and gatherings with people will be analyzed. Only by normalizing the process of elimination of everyone who was depicted as an enemy, did the communist party make possible the elimination of thousands of people. Normalization is understood as the standardization of the procedure so that everyone knew in advance what would happen if someone had to be declared an enemy of the people. The paper will analyze the vocabulary used to portray the class enemy and his/her destiny in specific cases. The study has analyzed the speeches given to justify the elimination of Patër Anton Harapi, Lef Nosi, Maliq Bej Bushat, dom Lazër Shantoja, dom Ndre Zadeja, and the sabotage group of the Maliqi swamp. The analysis covers the period immediately after the end of the IIWW when communists seized the power. PubDate: Fri, 30 Dec 2022 00:00:00 GMT
Abstract: Spatial developments contribute to climate change through greenhouse gas emissions and disordered land use. At the same time, climate change impacts have spatial implications, influencing the land uses and settlements development, and damaging habitats, ecosystems, infrastructure and other assets. Considering its regulatory character and multi-sectorial approach, spatial planning is gaining an increasingly important role in climate change management. As such, it could be better utilized in increasing climate resiliency and achieving decarbonization targets in Kosovo as well. While Kosovo is prone to natural hazards such as floods, landslides, droughts, and wildfires, the future climate change could further impact the economy, infrastructure, buildings, energy, health and wellbeing of its communities. Assuming that climate change considerations are not sufficiently integrated in spatial planning policies at the national level in Kosovo, this research assesses the extent that the Law on Spatial Planning and the Spatial Plan of Kosovo (also referred as the Spatial Planning Strategy) address those considerations. Upon the identified gaps, this research provides recommendations for better climate change management, risk reduction and resiliency building. Considering that the Spatial Plan of Kosovo has expired, and the Kosovo’s institutions are currently reviewing and considering the updating of the Law on Spatial Planning, the findings of this research could better inform and orient climate change mainstreaming in spatial planning at the central level. PubDate: Fri, 30 Dec 2022 00:00:00 GMT
Abstract: This study examines the complex and dynamic relationship between Kosovo and NATO. It argues that Kosovo’s prospects for NATO membership are shaped by an array of contradictory and often confusing international and domestic political forces. It draws on theoretical sources, media reports, and descriptive statistical data to the factors shaping expectations for NATO membership. The study relies on theories and concepts from the established and evolving literature on alliance formation and expansion to explain how states aspiring for membership in security organizations must navigate a pattern of political and security hurdles in their quest for membership accession. It then explores Kosovo’s case for NATO membership by examining whether Kosovo has met key political and security benchmarks and devotes significant attention to the settlement dispute with Serbia, the roles played by the U.S. and E.U., and identifies alternative paths for Kosovo’s membership in NATO. PubDate: Fri, 30 Dec 2022 00:00:00 GMT
Abstract: Forced population migration is not a modern phenomenon. It is often an integral part of totalitarian policies and has been used repeatedly to ensure the survival of political regimes or achieve specific political ambitions. Violent migration is present practically throughout history when considering the time scope and everywhere, practically in all continents of the world, with a specter of variations depending on the context imposed by the political circumstances, we can encounter it under different names. These variations have also reflections in the terminology used, among others, they are also indicators that speak of the different methods applied in order to achieve particular policies.Individuals, families, or even whole peoples are forced to migrate violently, abandon their homes and leave behind them all their lives, including the material goods created up to that moment. Seen from a normal retrospective, forced migration represents the culmination of a regime’s goals to dominate the territory without hindrance from any possible resistance. This fact has brought so many tragedies to humanity, and even worse, it has often ended with “legitimization” by international treaties or has even been the product of inter-state agreements. Forced population migration has clearly brought to the surface the evil purpose and has revealed territorial ambitions. PubDate: Fri, 30 Dec 2022 00:00:00 GMT
Open Access journal
