Traektoria Nauki
Not a member yet
1424 research outputs found
Sort by
A Comprehensive Analysis of Sustainable Energy Development: A Review of Existing Research
Get PDFThis study delves into the complex world of sustainable energy development, seeking to distil the essence of this multifaceted concept. We uncover the key aspects and activities that underpin sustainable energy development through a meticulous and systematic review of existing literature. Our research journey begins with analysing publication trends and tracing the chronological trajectory of scholarly output on sustainable energy development. We identify the most influential articles in the field based on citation frequency and map the global research landscape, pinpointing the top contributing countries.Next, we explore the dominant subject areas and disciplines intertwined with sustainable energy development and provide a comprehensive overview of the diverse definitions and interpretations surrounding this concept. Our study highlights the pivotal activities and initiatives driving sustainable energy development. Ultimately, our research reveals that achieving sustainable energy development hinges on three critical actions: transitioning to renewable energy sources, boosting energy efficiency, and mitigating greenhouse gas and air pollutant emissions. Notably, our findings underscore the need for a unified definition of sustainable energy development, highlighting the need for further research and clarity in this field
Optimisation, Simulation, and Characterisation of Mahogany (Khaya Senegalensis) Seed Oil Extract
Get PDFThe increasing demand for sustainable biofuel alternatives has encouraged the exploration of non-edible seed oils, with mahogany (Khaya Senegalensis) seed oil emerging as a promising candidate. This study investigates the optimisation of oil extraction from mahogany seeds using a combined response surface methodology (RSM) approach and process simulation. Soxhlet extraction with n-hexane as the solvent was employed, and the effects of extraction time, temperature, solvent/seed ratio, and particle size on oil yield were evaluated. A central composite rotatable design (CCRD) was used to develop a statistically significant model that accurately predicted oil yield based on the selected process parameters. Optimisation through RSM identified the optimal extraction conditions as 106 minutes extraction time, 68°C temperature, 5.05 ml/g solvent/seed ratio, and particle size of 1 mm. These conditions resulted in a maximum experimental oil yield of 58.9%, which agreed with the model's prediction of 61.17%. The extracted oil was characterised using gas chromatography-mass spectrometry (GC-MS) and Fourier transform infrared spectroscopy (FTIR). The analysis revealed a high content of unsaturated fatty acids, primarily linoleic acid (38.93%) and oleic acid (24.43%); other minor components, such as palmitic acid (0.34%) and stearic acid (2.74%), were also present making it suitable for biodiesel production.Furthermore, an Aspen Plus® model was developed to simulate the entire extraction process, including purification and solvent recovery. Sensitivity analysis and optimisation of the model led to 99.99% oil purity and complete hexane recovery, demonstrating the potential for sustainable and efficient oil extraction for the biodiesel production process. This study highlights the efficacy of combining experimental optimisation through RSM with process simulation for maximising oil yield and achieving high-quality oil suitable for biodiesel production
Corporate Vicarious Liability In The Crime Of Participating In Bribery In Indonesia
Get PDFThe complexity of the corporate world has led companies to become major players in corruption-related activities, including bribery. While the National Criminal Code acknowledges businesses as entities subject to criminal law, implementing vicarious liability in instances of memeplexes bribery needs additional clarification. This study investigates the implementation of the idea of vicarious liability for corporations regarding their involvement in corruption in Indonesia, particularly following the passage of the National Criminal Code (Law No 1/2023). The study employs a juridical-normative methodology utilising a statutory and conceptual framework, examining primary and secondary legal documents through a qualitative-descriptive lens. The findings indicate that the National Criminal Code incorporates the notion of identification and vicarious culpability in corporate accountability, broadening its applicability to those who effectively run the organisation. Vicarious liability in mediating bribery necessitates evidence of a causal link between the bribery act and the corporation's interests. The research's originality lies in its comprehensive analysis of how vicarious liability corresponds with established principles of criminal law, especially in the context of corporate bribery after the introduction of the National Criminal Code
Deep Learning-Based Intrusion Detection Systems For Network Security in IoT System
Get PDFThe Internet of Things (IoT) has revolutionised various sectors, including healthcare, education, agriculture, and military applications, by enabling seamless communication and data collection among interconnected devices. However, IoT networks' open and decentralised nature exposes them to many security threats and vulnerabilities. Intrusion Detection Systems (IDS) have been developed to address these challenges by identifying and mitigating malicious activities targeting these networks. Despite their importance, many organisations struggle to detect and prevent novel and sophisticated attacks effectively. This paper presents a comprehensive survey of the security issues inherent in IoT environments, emphasising the role of deep learning and machine learning techniques in enhancing IDS capabilities. By analysing existing vulnerabilities and evaluating various methodologies, we highlight the critical need for robust security measures that ensure IoT systems' reliability, privacy, and integrity. Through our findings, we advocate for integrating advanced analytical techniques in IDS to bolster defences against evolving threats in the IoT landscape
The Impact of Interpersonal Communication on Employee Relations: A Case Study of Starnet Innovations Limited in Enugu
Get PDFThis study examines the impact of interpersonal communication on employee relations at Starnet Innovations Limited, a rapidly growing tech company in Nigeria. The research combines quantitative surveys and qualitative interviews with 20 employees across various organisational levels. It uses a mixed-methods approach. Key findings reveal a strong positive correlation between communication quality and job satisfaction (r = 0.76, p<0.001), while digital tool adoption shows a positive impact on employee engagement (R² = 0.54, p < 0.001). However, qualitative data identify significant challenges in maintaining effective communication in a hybrid work environment, particularly regarding equal participation and informal interactions. The study proposes recommendations that include enhanced leadership communication transparency and optimised digital tool usage. This research contributes to the existing literature by providing empirical evidence on communication dynamics in a hybrid work setting within an African tech company context
Application of Prototype Theory to the Issue of Stability and Variability of Word Order Models in Different Languages
Get PDFPrototypical word order in world languages refers to the ontological side of this syntactic phenomenon. It is fixed and unchanging. The word order exists as a representation of various connection forms between language elements within the syntactic structure. In the context of the prototypical word order, deviating from them and moving in a new direction occurs against the background of the struggle between the old and the new. This global linguistic phenomenon has led to significant changes in the syntactic structure of the language and the formation of a new structure of relations in the old hierarchy. The article covers the initial influences that changed the prototypical sentence structure in Old Germanic and Old Turkic languages. For this purpose, the study used pronouns and adverbs in ancient Germanic languages and pronouns in ancient Turkic languages as research objects. The formation of word order in a sentence in Turkish, as in other languages, is based on the prototype word order. To study this problem, there are a large number of written monuments belonging to the 5th-9th centuries of our era. By studying those materials, we can get some information about the order of words in the monuments in ancient Turkic, in the period when splitting the Great Turkic into dialects was not yet completed. In conclusion, it is said that the signs of the prototypical word order are universal, but each language family has some peculiarities in this direction
К вопросу об интенсивности нарастания двух противостоящих эмотивных смыслов: «момента истины» и «ненависти» (на материале англоязычного романа Чингиза Абдуллаева «Доблесть великанов»)
Get PDFThe article is devoted to studying emotive vocabulary in the English-language novel 'Valour of Giants' by Chingiz Abdullaev, focusing on confronting two key emotional concepts: 'moment of truth' and "hatred". The study examines how these emotive meanings shape the characters' images, in particular the protagonist Drongo, and how they influence the development of the plot. Using textual and comparative analysis methods, the author identifies the peculiarities of conveying emotions in the original text and its English translation and discusses the cultural aspects that influence the perception of emotive vocabulary. The study results emphasise the importance of emotive vocabulary for creating emotional tension and depth of images in literature.Статья посвящена исследованию эмотивной лексики в англоязычном романе Чингиза Абдуллаева «Доблесть великанов», с акцентом на противостояние двух ключевых эмоциональных концептов: «момента истины» и «ненависти». В исследовании рассматривается, как эти эмотивные смыслы формируют образы персонажей, в частности главного героя – Дронго, и как они влияют на развитие сюжета. Используя методы текстового и сравнительного анализа, автор выявляет особенности передачи эмоций в оригинальном тексте и его английском переводе, а также обсуждает культурные аспекты, влияющие на восприятие эмотивной лексики. Результаты исследования подчеркивают важность эмотивной лексики как инструмента создания эмоционального напряжения и глубины образов в литературе
The Implications of Begawe Tradition on Strengthening the Value of Gotong Royong in the Sasak Community, Indonesia
Get PDFThis study aims to analyse the contribution of the Begawe tradition to strengthening the value of cooperation among the Sasak community and to examine its implications for the relevance and preservation of these values amidst social change and modernisation. The method used is a descriptive quantitative and qualitative approach. The population consists of Sasak community members who regularly practice the Begawe tradition, with random sampling techniques used to select a sample of 25 respondents. The research instruments include a questionnaire for quantitative data collection and in-depth interviews for qualitative exploration. The results indicate that community participation in the Begawe tradition reaches 77%, reflecting a commitment to preserving local culture.Most respondents feel that Begawe influences their spirit of collaboration, with 88% expressing this sentiment and 87% stating that they can apply Begawe's principles of cooperation in everyday life. The Begawe tradition significantly contributes to social solidarity and preserving cooperation values despite facing challenges in modernisation. In conclusion, Begawe remains relevant as a means of strengthening social ties and cooperation, with the necessity of involving the younger generation to maintain the sustainability of these values
The Research Agenda of Kenya's Environmental Diplomacy Pillar: An Opportunity to Mitigate Air Pollution in Kenya
Get PDFThis study sought to examine the research agenda of Kenya's environmental diplomacy pillar by drawing insights on one of pillar‘s objectives, which is to promote research as a mechanism to encourage innovation and reduce the adverse effects of environmental threats. The study interrogates four issues. Firstly, the extent of research on environmental issues and its contribution to mitigating air pollution. Secondly, the importance of the attached research agenda at the policy level. Thirdly, this study assesses milestones in air pollution innovations and their relevance to air pollution policy formulation. Finally, the study examines the effectiveness of environmental audits. The study employed an exploratory research design and targeted 130 critical informants from institutions dealing with environmental issues and diplomacy in Kenya. This study found that, despite increased global attention to ecological security in recent years in academia and policy, there is generally limited research and technological innovation in air pollution to support the country's pursuit of a carbon-free economy. The findings were based on descriptive statistics and conceptual content analysis of primary and secondary data. The study also underscores a dearth in assessing potential research areas on air pollution. It, therefore, recommends that all relevant institutions prioritise research to transform the energy sector, develop evidence-based environmental policies and strategies, and encourage technology transfer to facilitate domestic innovations in air pollution mitigation
Online-Based New Student Acceptance System (PPDB) at SMA Negeri 5 Mataram, Indonesia
Get PDFThis research aims to determine the system for accepting new students at SMA Negeri 5 Mataram, with sub-focuses including discovering the stages of online-based acceptance of new students at SMA Negeri 5 Mataram. This research uses a qualitative descriptive approach with a case study type. Data was collected using interviews, observation, documentation, and primary and secondary sources. The data analysis technique uses an interactive model of data collection, condensation, presentation, and conclusion. Meanwhile, the validity of the data was checked using a triangulation of sources and methods. The online-based system for accepting new students at SMA Negeri 5 Mataram includes the registration announcement stage, registration stage, selection stage, announcement stage and re-registration stage. Implementation of the registration announcement stages includes school visits and observations. The registration stage is carried out by observing the number of registered students. Then, the selection stages are observed through 4 open pathways to prospective students. The announcement stages are followed according to the quota amount. And finally, the re-registration stage was observed by interviewing teachers. The results of the observations are then used as a basis for knowing the online-based system for accepting new students. Therefore, the online-based student admission system at SMA Negeri 5 Mataram is running well