bluuebunny/crossref_metadata_2025 huggingface dataset:
Local nature recovery strategies
Authors:   Parliamentary Office of Science and Technology, Powell Katie , Wentworth Jonathan
Published: October 2024

The UK Government is introducing Local Nature Recovery Strategies (LNRS) from April 2022 to map where local habitat improvement and restoration could address national-scale environmental objectives. This POSTnote summarises the LNRS approach, including mapping ecological networks, the opportunities for LNRSs to deliver wider benefits to nature and people, and the likely challenges associated with the strategies and their delivery.
The Tradition Of Dowry And Gender Equality Issues: A Literature Review
Authors: Luis Guterres Vicente Manuel , Marhaeni Anak Agung Istri Ngurah , Dewi Made Heny Urmila , Mustika Made Dwi Setyadhi
Published: October 2024

Dowry is a tradition that has existed for a long time and exists in many cultures around the world, including in Indonesia. Although dowry has symbolic and cultural significance, this tradition can cause several problems, especially related to gender equality. The purpose of this study is to compare the practice of dowry that applies in several countries and to examine the relationship between dowry practices and gender equality issues. This study uses a qualitative approach with data collection techniques through observation of various relevant literature, with descriptive analysis techniques. The results of the study show that the practice of dowry in several countries has differences where there are countries that practice dowry or dowry given from the woman's to the man's side, or the man's to the woman's side. In addition, there are countries that practice dowry given by the man or woman individually, which is used for the business capital of a new family that is formed. The results of the study also show that the practice of dowry in several countries reflects gender inequality that is still deeply rooted in patriarchal culture. This reduces women's autonomy and strengthens the power imbalance in marital relationships. Despite international efforts such as the Convention on the Elimination of All Forms of Discrimination against Women that seek to address this discrimination. Therefore, it is important to eliminate the practice of dowry that is not in accordance with the principle of gender equality in order to promote a fairer and healthier marriage relationship.
Assessment of heavy metal contamination in Trifolium alexandrium and Spinacia oleracea using ICP-MS: A comparative analysis across different districts in eastern Uttar Pradesh
Authors: Abhinav P. Yadav  , Shubham Gudadhe  , Sarika Kumari  , Sadanand Maurya  , Manikant Tripathi  , Awadhesh K. Shukla
Published: October 2024

In areas near sugar mills, many plants have been found to accumulate unsafe heavy metals such as arsenic (As), cadmium (Cd), lead (Pb), nickel (Ni), and zinc (Zn), which can pose severe threats to human and environmental health. The objective of this study is to assess the level of heavy metal concentrations in different tissues of Trifolium alexandrinum and Spinacia oleracea samples collected from Ayodhya, Bahraich, and Gonda districts in Uttar Pradesh, India. Heavy metal concentrations in plant samples were estimated using inductively coupled plasma mass spectrometry (ICP-MS). The present study revealed the variations in heavy metal distributions among plant species of different areas, with notably high levels of heavy metals in samples like T. alexandrinum, and S. oleracea collected near sugar mills. The differences observed within specific regions suggest that regional factors, such as soil and land use, influence the accumulation of heavy metals. These findings underscore the urgent need for continuous monitoring and control of heavy metal pollution to mitigate potential health and environmental risks associated with proximity to sugar mills.
Existence of a homeomorphism from the space of continuous functions to the space of compact Subsets of a topological space, X
Authors: Amalraj . P  , Vinodkumar P. B.
Published: October 2024

This paper presents proof that there exists a subspace of the space of continuous functions on a topological space X, which is homeomorphic to the space of compact subsets of X. Those let C(X) denote the space of continuous functions on a topological space X and K(X) be the space of compact subsets of X. We prove that there exists a subspace of C(K(X)) which is homeomorphic to C(X). The result remains valid for compact open topology and point-wise convergence topology on K(X).
An optimized approach for detection and mitigation of DDoS attack cloud using an ensembled deep learning approach
Authors: P. S. Dheepika  , V. Umadevi
Published: October 2024

As cloud computing gains in popularity, safety becomes an increasingly important consideration. One of the most challenging issues in cloud computing is the detection of Distributed Denial-of-Service (DDoS) attacks (Gupta, B. B., et al., 2009). One of the most crucial aspects of cloud architecture is the ability to provide self-service whenever it is needed. Applications built on the cloud computing model are available on demand and at low cost. As cloud computing grows in popularity, so too is the amount of cyberattacks aimed against it. One such attack is a Distributed Denial of Service attack, which is designed to overload the cloud's hardware/software, resources, and services, making them difficult to use for everyone. The difficulty of this assault stems from the fact that it can overwhelm the victim's ability to communicate or compute in a short amount of time with little to no notice. It's getting harder to spot and stop these assaults as they get more sophisticated and more numerous. Several Machine Learning methods, including Logistic Regression, K-Nearest Neighbors, Support Vector Machine, Decision Tree, Naive Bayes, Multi-layer Perceptron, XGBoost, and SGD have been implemented for accurate DDoS flooding attack detection. When compared to current methods, the suggested strategy of utilizing deep learning with Quadratic discriminant appears to result in higher accuracy. There is also a thorough comparison and evaluation of the abovementioned algorithms with respect to the accuracy measures used.
Comparative study of the foundation model of a 220 kV transmission line tower with different footing steps - Finite element analysis
Authors: Sudheer Choudari  , K. Rajasekhar  , Ch. Sudheer
Published: October 2024

Transmission line Towers are structures commonly used to support the phase conductors and shield wires of a transmission line. The present work describes the analysis of superstructure and substructure of a 220kV transmission line tower. The tower is a self supporting three dimensional type and designed for a height of 33.25 meters which is usual height of supporting conductors to transmit power one point to another in Andhra Pradesh. Super Structure of the transmission line tower has been analysed considering wind loads as per codal provisions IS 802:2002. Reactions obtained from the results in each leg of a transmission line tower at base have been considered as forces for the Finite Element analysis of substructure system. The analysis has been carried out using Ansys Workbench by considering Finite Element Analysis concept with Solid 65 as element for concrete foot steps and truss element for steel sections. Various parameters like deformation & Stresses are observed in the stub angle section and foundation system with five footing steps to study the compare the results between different foot steps of a foundation model. The numerical analysis such as finite element method has enabled the prediction of stresses of foundation of Transmission line Tower.
Hyperparameter tuning of diabetes prediction using machine learning algorithm with pelican optimization algorithm
Authors: T. Ramyaveni  , V. Maniraj
Published: October 2024

Machine learning algorithms are employed in public health to forecast or diagnose chronic epidemiological illnesses like diabetes, which have global rates of transmission and infection. Machine learning technology may be applied to diagnostic, prognostic, and evaluation methods for a number of illnesses, including diabetes. This work presents a novel approach based on a novel metaheuristic optimization algorithm to improve diabetes categorization. 738 records were included in the final analysis of the main data, which was acquired in 2013 in accordance with the security protocols specified in the Declaration of Helsinki. This approach suggests a novel feature selection technique based on DBERDTO (Douche Optimization technique) and the dynamic Al-Biruni earth radius. A random forest classifier was used to categorize the chosen features, and the suggested DBERDTO was utilized to optimize the parameters. In this work, we investigate hyperparameter tuning for improved diabetes case prediction using the Pelican Optimization Algorithm (POA) in conjunction with the XGBoost machine learning technique. To prove the effectiveness and superiority of the suggested approach, it is tested against the most recent machine learning models and optimization techniques. The method's overall accuracy for classifying diabetes was 99.65%. These test results attest to the suggested method's superiority over alternative categorization and optimization techniques.
An optimized real-time human detected keyframe extraction algorithm (HDKFE) based on faster R-CNN
Authors: Rajeshwari D  , C. Victoria Priscilla
Published: October 2024

The aim of this project is to support criminal investigators by utilizing surveillance camera footage in their investigations.  To apprehend the culprit, it is necessary to examine the video footage and extract the relevant and crucial information. Analyzing lengthier videos might provide challenges due to the time needed to process the entire video while maintaining its semantic features. In this situation, a dataset is collected in real-time to aid in the criminal investigation, which consequently requires the use of keyframes. The study illustrates that Content-based video retrieval (CBVR) enables the video analysis technique. Keyframe extraction is a significant component of video analysis. The main objective of key frame extraction is to reduce the amount of repetitive frames in a video, thereby improving the clarity and efficiency of the scenario. Moreover, it optimizes video sequences to expedite processing. The study paper introduces the Human Detected Keyframe Extraction algorithm (HDKFE), which utilizes a dual-stage methodological approach. The Faster Region-Convolutional Neural Network (Faster R-CNN) detects humans in surveillance by identifying frames that contain humans and reporting them using an optimized threshold value. The frames then identify a suitable keyframe by recognizing local maxima through the absolute difference between frames in the subsequent phase. This significantly decreases the complexity of long-term criminal investigations. The experimental report reveals that the HDKFE approach achieves a precision of 98.87% while minimizing both space and time complexity.
Multi-objective nature inspired hybrid optimization algorithm to improve prediction accuracy on imbalance medical datasets
Authors: R Nithya , T Kokilavani , P Joseph Charles
Published: October 2024

Imbalanced medical datasets pose a significant challenge for predictive modelling. The current study presents a new method of performing feature selection specifically for the imbalanced medical datasets to improve accuracy of the predictions. The proposed Multi-Objective Feature Selection with Cost-Sensitive (MOFSCS)algorithm leverages the large-scale exploration capability of the Squirrel Search to generate diverse candidate feature subsets and employs Tabu Search for local optima refinement. One of the key developments is learning with consideration of costs, which is closer to the identification of the minority class. The effectiveness of the proposed approach is ensured by the experiments on different imbalanced medical datasets, namely, heart disease and stroke prediction datasets. The results reveal that the proposed method, when integrated with the XGBoost classifier, achieves a precision of 98.5%, recall of 98.7%, F1-score of 98.6%, accuracy of 98.7%, and an AUC-ROC of 98.7% on the heart disease dataset. Similarly, for brain stroke prediction, the model attains a precision of 98.9%, recall of 99.0%, F1-score of 98.9%, accuracy of 99.0%, and an AUC-ROC of 99.0%.
A novel approach for metrics-based software defect prediction using genetic algorithm
Authors: Rajeev P. R.  , K. Aravinthan
Published: October 2024

Software defect prediction is an important issue in the process of software development and maintenance, which is related to the overall success or failure of software. This is because early software failure prediction can improve software quality, reliability and efficiency, and reduce software cost. However, developing robust defect prediction models is a challenging task and many techniques have been proposed in the literature. In this paper, a software defect prediction model based on Novel Hybrid Genetics Software Defect Prediction (NHGSDP) is proposed. The supervised NHGSDP algorithm has been used to predict future software failures based on historical data. The evaluation process shows that the NHGSDP algorithm can be used effectively with high accuracy. The collected results show that the NHGSDP method has better performance.
Exploring the landscape of brand extensions: A bibliometric analysis of scholarly trends and insights
Authors: Mohit  , Chaudhry Rishi
Published: October 2024

This bibliometric analysis offers scholarly insights into brand extension research by examining academic output, influential sources, leading authors, and keyword co-occurrences in the field. Analyzing a dataset spanning from 2014 to 2023, the study reveals significant trends, patterns, and themes. The annual distribution of research output shows fluctuations, indicating evolving research priorities. In terms of institutional productivity, the School of Management at Zhejiang University is a leading contributor, followed closely by the Business School at Hanyang University and Dankook University, underlining their significant scholarly influence. Key sources such as the "Journal of Business Research," "Journal of Brand Management," and "Journal of Product and Brand Management" shape the discourse, emphasizing their pivotal role in brand extension exploration. Co-citation analysis identifies Keller K.L., Aaker D.A., Park C.W., and Loken B. as the most influential authors, forming the intellectual backbone of the field. Keyword co-occurrence analysis uncovers vital concepts like "brand equity," "brand management," and "perceived fit," shedding light on critical themes in brand extension research. This study enhances our understanding of brand extension literature, serving as a valuable resource for researchers and practitioners seeking to explore the evolving landscape of this dynamic field.
Agent’s roles and perspectives of life insurance market in North-East India
Authors: James L T Thanga  , Ashley Lalremruati
Published: October 2024

The study explores the roles and perspectives of life insurance agents as they are the dominant channel for distribution of policies. It uses qualitative primary data collected from 13 veteran agents and 4 managers of LIC in North-Eastern states using a semi-structured interview schedule. The main focus of the interview was to obtain extensive information regarding their experience as life insurance agents, with clients and with the company LIC itself. Assam has the most vibrant life insurance market, with better awareness and penetration across varying occupations and geographical areas. The agents prioritized building a good relationship with their customers, establishing a sense of trust with the company, and providing good after-sales services. Digitization has played a big role in catering to these responsibilities and has changed the work culture of insurance agents. There is stiff competition with the private sector, and the culture in each state affects spending and saving habits. Irregular income and mis-selling are the main causes of lapsation of policies.
Development of Interactive Learning Media Based on Motion Graphic Animation for Basic Photography Subject
Authors: Yusmaningsih Yayang , Delianti Vera Irma , Mursyida Lativa , Marta Rizkayeni
Published: October 2024

This study aims to design and develop interactive multimedia-based learning media utilizing motion graphic animation for the Basic Photography subject at SMK Negeri 4 Padang. This media was designed to assist students in understanding the material more effectively and engagingly. The method used is the Multimedia Development Life Cycle (MDLC), consisting of six stages: concept, design, material collecting, assembly, testing, and distribution. The validity test involved four experts, two media experts, and two material experts, while the practicality test involved ten students from Class X DKV A. The results of the validity test show that the learning media is highly valid, with Aiken's V score of 0.94 for both media and material aspects. The practicality test yielded an average score of 90.13%, categorized as "Highly Practical". This learning media successfully facilitates students in understanding basic photography concepts and increases their motivation to learn through interactive features such as animations, videos, and evaluation questions. With valid and practical results, this application is suitable as an alternative learning media to support the teaching of Basic Photography at SMK Negeri 4 Padang.
Penerapan Metode Role Playing untuk Meningkatan Kemampuan Sosial Emosional Anak Usia 5-6 Tahun di TK IT Tahfidz Insan Mulia
Authors: Wildani Wildani , Nurmawati Nurmawati , Nasution Inom
Published: October 2024

This study aimed to determine the improvement of the social-emotional abilities of kindergarten students in group BI at TK IT Tahfidz Insan Mulia Kota Tebing Tinggi through the application of role playing learning model. This type of study is classroom action research which is carried out as many as two cycles and each cycle is carried out with three meetings. The subject of this study were 26 students of group BI with totaling 13 boys and 13 girls in the academic year 2023/2024. The mothod of data collection regarding social-emotinal abilities was collected by observation method. The result of data analysis showed that there was achievement in student's social-emotional abilities with the application of role playing learning model in cycle 1 was included in the category of developing very well in Indonesian called  Berkembang Sangat Baik (BSB) still 4% and achievement in cycle II to 54% in the category of developing as expected in Indonesian called Berkembang Sesuai Harapan ( BSH).
Media Consumption Habit Among Students of Federal Polytechnic Bauchi Nigeria
Authors: Abdullahi Shehu Abdulkadir
Published: October 2024

The aimed of the study is to examine the preferences and behaviors of young individual concerning media usage among the student of federal polytechnic Bauchi. I sought to determine the types of media content students were expose to, the time allocated to various media sources daily, and their overall perception of media.  The study was informed by the inadequacy of literature on the topic in the developing countries; Nigeria inclusive. I employed a well structure questionnaire to collect comprehensive insight into the prevalent media consumption patterns among polytechnic student. one hundred (100) respondents were randomly selected from the school of general studies, school of environmental studies and school of business studies I recommended the implementation of an orientation program within the polytechnic to raise awareness about fostering healthy media consumption habits within the polytechnic student. Media consumption habit are dynamic and may change over time due to technological advancements, shifts in preference and access to new platforms and content. Online streaming services such as Facebook, twitter and Tiktok has more patronage followed by newspaper and radio with very low listeners
Inference and Asymmetric GARCH-Model with a New Distributed Innovation
Authors: Adubisi O. D. , Adashu D. J.
Published: October 2024

A novel generalized-odd-generalized exponentiated skew-t (GOGEST) innovation density for the generalized autoregressive conditional heteroskedasticity (GARCH) models is proposed. The features of the proposed distribution were derived. The parameter estimates of the proposed distribution through simulation were carried-out with maximum likelihood estimation technique. The performance of the asymmetric GARCH-GOGEST model relative to five other asymmetric GARCH-various existing innovation densities in volatility modeling was investigated using the Bitcoin log-returns. The empirical results showed that the asymmetric GARCH-GOGEST models were superior over the other asymmetric GARCH models. However, the threshold GARCH-GOGEST model outperformed the other models in terms of volatility predictability (out-of-sample).
More than pollutant removal: constructed wetlands and waste stabilization ponds as biodiversity hotspots and community assets in Tanzania
Authors:   , Msaki Gerubin
Published: October 2024

Waste stabilization ponds (WSPs) and constructed wetlands (CWs) are important ecotechnologies for wastewater treatment. Despite their potential and wastewater management being challenging in urban and peri-urban areas of Tanzania, their adoption and sustainability is not well developed. This study examined (a) social knowledge, attitude, and perceptions (KAPs) on wastewater treatment, technologies involved, and reuse across municipal wastewater treatment plants in four regions of Tanzania; (b) biodiversity of birds, insects, and reptiles in constructed wetlands (CWs) and waste stabilization ponds (WSPs), and (c) bacterial abundance and diversity in different types of CWs. A semi-structured household-level questionnaire (n=327) was used to collect quantitative and qualitative data. The survey involved observations and face-to-face interviews to assess social KAPs on wastewater treatment, technologies, reuse, and potential health risks. Key informants were selected purposively (n=8). The study also employed point counts, direct observations, and camera traps to assess bird diversity in WSPs and CWs. Direct observation and pitfall traps along established transects were used to collect and assess insects and reptiles. Fishnet was used to assess the reptiles living in the WSPs. Additionally, wastewater was collected in four different CWs for bacterial diversity establishment. Community KAPs were analyzed using SPSS, while Jamovi and PAST software were used to analyze the diversity and abundances of birds, insects, and reptiles, whereas bacterial community composition was characterized using Illumina-based sequencing of the V3 and V4 hypervariable region of 16S rRNA. The results show that social KAPs surrounding wastewater treatment and reuse were sufficient based on the KAPs score achieved from the asked questions. However, the general knowledge of treatment technologies, processes and reuse risks was found to be low. Over 90% of respondents were unaware of wastewater treatment technologies and the potential health risks associated with using treated wastewater (59%). Multivariate analysis of variance revealed significant differences (P < 0.05) in KAPs for treated wastewater across different demographic variables examined, i.e., age, sex and education level. Furthermore, results showed that birds exhibit high species abundance (n = 1132), high species richness, Margalef index (D = 4.266), evenness (E = 0.815), Shannon diversity (H = 2.881) and Simpson index (λ =0.903). The abundance and diversity of studied groups differed significantly (P<0.05) between WSPs and CWs. In addition, the results showed that the Proteobacteria were dominant (48.66%) phyla across all CWs. The Gammaproteobacteria class (27.67%), the family Comamonadaceae (35.79), and the genus Flavobacterium (4.35%) were dominant in all examined CWs.
The Nexus of Human Communication and AI in the Workplace
Authors: Ayishat Sandra Olanrewaju
Published: October 2024

Much has been said about how AI is transforming the workplace. Some quarters believe that AI will replace humans in the workplace, some do not, while others think there will be more collaboration between humans and AI. In addition, human communication keeps evolving in the workplace, especially with the influx of artificial intelligence tools. As such, an important area to study is how organisations can keep up with these changes and utilise them to their advantage, especially within the context of communication. Communication is an essential element in every organisation. Therefore, examining the nexus of human communication and AI in the workplace is imperative to understanding how organisations can benefit and be more productive. This paper posits that organisations benefit greatly when humans and AI collaborate in the area of communication. This study concludes that human-centric skills cannot be neglected in the workplace, and organisations cannot ignore the need to incorporate AI tools in their communication while doing so ethically. Thus, the paper recommends that organisations develop systems and processes that enable their staff to use artificial intelligence tools to their benefit effectively. They should also develop ethical codes for utilising AI tools while ensuring they invest in the right AI tools and stay updated with current AI trends and practices related to their field.
Evaluating AI’s Role in Combating Fake News in India: A Study
Authors: B Chopra Aahana , Verma Kuhu , Arora Pihu
Published: October 2024

This research examines AI’s role in addressing fake news in India’s digital landscape, employing a mixed-method approach. Phase 1 involves a survey among 20-40-year-olds, revealing limited awareness of fact-checking resources and AI tools, with most relying on internet news sources. Concerns about AI’s impact on news fairness are raised despite support for regulations. Expert interviews, including insights from Dr. Archana Kumari (Assistant Professor, JNU) emphasises defining fake news precisely and enhancing journalism with AI, suggesting governments leverage AI to combat misinformation. The study concludes by advocating for a nuanced understanding of AI’s potential in digital journalism, presenting advantages, disadvantages, and solutions, thereby contributing to a comprehensive discourse on AI and fake news within India.
Artificial Intelligence in Journalism: An Overview of its Applications and Uses
Authors: Nandini  , Indora Prabhat , R K Singh
Published: October 2024

The given paper explores the Artificial Intelligence and the use of it in the Journalism and Media. A decade earlier, this technology of AI was introduced with an insight of developing the tech sector of the countries. The introduction of AI in different fields made their work easy. This paper explores the impact of AI on Journalism encompassing the opportunities and challenges faced during the use of these tools. A survey was conducted on a small scale, samples were selected randomly from different professional backgrounds, this survey provided a detailed summary of what people think about AI and how do they think it will impact Journalism. A large number of people think that if used correctly, AI can make a big change in this sector, it can help us to explore the field with a different mindset. But the technology that is used now-a-days affects the Journalism negatively. The biasness of the computer algorithms, the algorithms used incorrectly, the ability to deep fake the original content, are some of the problems that can inculcate while using the tools. The newsroom may find these tools effective but it can impact the human thinking. The content generated through AI cannot compete with the human ideas and their emotions.Thus, this research paper finds that though AI is competent to deal with the fast-pacing environment, specifically the Journalism and Media sector which advances itself on daily basis, it lacks to deal with the human element in this sector. This technology can only make the humans incompetent to deal with their own fast-pacing work environment and life, it can make them lethargic to deal with a burden. Also, AI demands the judicious use as it can influence and manipulate the person easily. The biases of algorithms need to be identified thus one cannot fully depend on the tools of AI.
Medeltidsstaden Örebro
Authors: Ekman Tomas
Published: October 2024

The medieval city of Örebro – 42 years and 104 interventions later. The project "The Medieval Town" intended to compile available information about all Swedish medieval towns. The perspective was consequently archaeological, but the project had an interdisciplinary methodology. Volume no 9 about Örebro came in 1978. The town was probably founded in the 13th century, but the chronology is unclear in the early years. It grew up around a defense facility at a ford over the river Svartån. During the rest of the Middle Ages, the castle and the city were often at the front line in battles between warring factions. Therefore, in 2020 the new compilation and analysis was made. Some of the results and conclusions are presented in this article:
• The older city maps also give a good picture of the distribution of the medieval settlement.The city is located on a narrow ridge and it is only in modern times that the cityexpands outside the ridge.• The ridge has been “improved” already during the Middle Ages with large fills and thecity's topography is mainly created by its inhabitants.• In watching briefs, excavations rarely continue to the natural subsoil, meaning thatearlier remains may still be present in areas recorded as have been documented.• Few traces of extensive fires have been found despite at least four city fires and at leastseven sieges. Part of the explanation may be the fills and remaking of the topography.
OPTIMIZATION OF ADAPTIVE LANGUAGE LEARNING USING ARTIFICIAL INTELLIGENCE
Authors: Chicherina N. , Zharkynbekova Sh. , Azamatova А. , Akhmetbekova А.
Published: October 2024

The active penetration of digital technology into all spheres of human activity has naturally led to processes of transformation of the education system. In recent times, the growing interest around the possibility of using artificial intelligence (AI) in the educational space indicate the relevance of the topic. The aim is to analyze methods and technologies for optimizing adaptive learning of the Russian language as a foreign one based on AI. The theoretical significance is determined by its contribution to exploring various approaches to integrating AI into the educational process, as well as further investigating the effectiveness of using AI in adaptive language learning. The practical significance lies in the possibility of applying its main research results when introducing adaptive learning platforms and applications into educational institutions and developing recommendations for optimizing language teaching programs. During the study, scientific and methodological literature dedicated to the application of AI in education was analyzed, considering its prospects and potential risks, the effectiveness of various platforms and tools for adaptive language learning was assessed. The study determines the role of AI in personalizing the educational process, optimizing the content and forms of training, improving assessment methods and the pace of learning based on real-time feedback. The paper also identifies the ethical challenges and technical limitations faced by researchers and practitioners in the field of using advanced AI technologies in the educational process. The research results allow us to assert that AI technologies should become an integral part of the modern language learning process, as they can significantly enhance student motivation and develop their speaking skills. The results and study material can be used in lectures on cognitive linguistics, computational linguistics, semantics and pragmatics, as well as the development of educational programs and technology.
EXPLORING THE CRAFT BEER EXPERIENCE IN SERBIA: THE CONSUMER PERSPECTIVE
Authors: Pantović Danijela , Kostić Marija , Seočanac Marijana , Cvianović Dušica , Davidović Jovana
Published: October 2024

One of the main things driving the growth of culinary, or more accurately, beverage tourism, is the “beer revolution,” or the proliferation of craft beer production. Investigating the reasons and perceptions of tourists about the beer tourism experience is vital in the lack of comparable studies. The purpose of this study is to add to the extremely little that is currently known about Serbia’s beer tourism industry. Authors specifically looked at the factors that affect craft beer experience and customer loyalty among craft breweries’ consumers. Considering that consumers of craft beer have different motivations, it was discovered that craft beer experience has a positive but the lowest impact on perceived quality.
ARTIFICIAL INTELLIGENCE IN AGRICULTURE: THE IMPACT ON LABOR PRODUCTIVITY
Authors: Soldić Aleksić Jasna , Zečević Aleksandra , Chroneos Krasavac Biljana
Published: October 2024

The last few years have seen the artificial intelligence technologies’ potential to radically transform many industries, including agriculture, by optimizing the use of resources, increasing productivity, work efficiency, and resistance to climate change. The basic research question here is the degree of connection between the level of productivity in agriculture, on the one hand, and the degree of acceptance of AI technologies and a number of agriculture-related economic indicators, on the other hand. For this purpose, an empirical data analysis was carried out for EU 27 member countries. The results of the analysis show a moderately strong positive relationship between the level of the Labor Productivity in Agriculture and the AI Readiness Index score. Also, there is a statistically significant, but slightly less pronounced, positive relationship between the level of the Labor Productivity in Agriculture and GDP per capita and Agriculture, Forestry, and Fishing, Value Added (current US$) in Millions.
INHERITANCE AS A BASIS FOR THE ACQUISITION OF OWNERSHIP RIGHTS OVER REAL ESTATE AND AGRICULTURAL LAND BY FOREIGN CITIZENS
Authors: Krstinić Dalibor , Zarubica Sara , Matijašević Jelena , Bingulac Nenad , Dragojlović Joko
Published: October 2024

The subject of research in the paper will be the right of foreign citizens to inherit real estate and agricultural land in the Republic of Serbia. By using the methodologicaltheoretical framework, the aim of the work will be the analysis of the inheritance institute, which represents the basis of acquisition of property rights on real estate and agricultural land by foreign citizens. The era of globalization favors the movement of people between countries, but each country determines the availability and scope of rights of foreign nationals according to its interests. Therefore, in order to analyze the research subject, we will use historical, descriptive, normative and content analysis methods. The conclusion will summarize the results of research on inheritance as a basis for acquiring property rights on real estate and agricultural land by foreign citizens.rights over real estate and agricultural land by foreign citizens.
Editorial
Authors:   Romanian Academy, Popa Cătălin-Ștefan
Published: October 2024

The editorial of SARA 3 introduces the 8 papers contained in this issue, and recounts a historical event in the modern culture of Syriac Orthodox Church: the first visit of a Syriac-Orthodox patriarch to the Holy Land since the 1967 Six-Day War. The Syriac Orthodox Patriarch Ignatius Aphrem II made a 6- day visit to the Holy Land between May 4-9, 2023, on the occasion of the installation of Archbishop Mor Anthimos Jack Yakoub, as Syriac-Orthodox Patriarchal Vicar of the Holy Land and Jordan.
“Prophets” and their Wrongful Killing: Homily or Hymn? Hearing a Qur’ānic Term and Refrain in the Light of Syriac Tradition
Authors:   University of Auckland, Wilde Clare Elena
Published: October 2024

The Qur’ān names a number of individuals who are also known from the Bible. These biblio-qur’ānic figures include the heroic and malevolent, human and otherwise. Among these figures are a number of individuals whom Islamic tradition would consider as prophets. Their qur’ānic mentions range from detailed narratives to brief allusions.
“Prophet” is rendered by the Arabic word nabiyy. The Qur’ān employs two plural forms of this term: the broken Arabic plural (anbiyā’) and the common Semitic plural (nabiyyūn/nabbiyyīn). In contrast to general Arabic usage, in the Qur’ān, it is the sound – and common Semitic – plural form of the word that is most employed, with nabiyyūn/nabiyyīn appearing 3x more frequently than anbiyā’. And, in four of its five occurrences, anbiyā’ occurs in a refrain of “killing the prophets without right”.
This paper examines the Qur’ān’s employment of anbiyā’ vs. nabiyyūn against a presumed background of Syriac Christian polemics.
Another Christian Syriac Amulet on Leather? Ms Or. 2480
Authors:   University of Cambridge, Hunter Erica C.D.
Published: October 2024

Ms Or. 2480 is a single vellum leaf with 47 lines of text on the recto side in an eastern Estrangela Syriac script. With a posited 7th century dating, it was written for a woman client Xvarr-Vehg-zad called Yazdan-zadag, who is also the subject of three amulets published by Philippe Gignoux in Inscriptions Syriaques Magiques (Louvain-Paris: 1987). The article offers a translation and commentary of Ms Or. 2480, together with a comparative appraisal of its terminology that clearly situates the amulet within the repertoire of Mesopotamian incantation bowls. Ms Or. 2480 is distinguished by its opening Trinity formula; raising the question of scribal practice: whether he did so in response to Xvarr-Vehg-zad being a Christian? Or was the Trinity formula acting in the capacity of a vox magica?
Remembering Dr. Arthur Vööbus and Mrs. Ilse Vööbus
Authors:   California State University, Northridge, McConaughy Daniel L.
Published: October 2024

This paper marks the 35th anniversary after the death of the great Syriac scholar Arthur Vööbus (d. 1988) and focuses on Dr. Vööbus as the scholar and man of God from the author’s personal experiences with him at the Lutheran School of Chicago. Searching for Syriac manuscripts was in the early and mid-career of Dr Vööbus, like a treasure hunt. It provided new sources that western scholars did not know about. The constant discovery of new manuscripts really energized Dr. Vööbus and provided him with so much to write about. He was always excited about the discoveries, and there was a constant sense of urgency to publish the results.
Christianity in Iraq. Religion and Ethnicity. Some Recent Developments
Authors:   Katholieke Universiteit Leuven, Teule Herman G.B.
Published: October 2024

This paper explores the new, but sometimes problematic way in which Christians themselves try to find a place in the Iraqi political landscape, defining themselves as an ethnic minority rather than as a religious community (Church), a development sometimes criticized by the ecclesiastical authorities, though as we will see the distinction between “religious” and “ethnic” is rather fluid.
Towards a New History of Syriac Asceticism. An Important Desideratum
Authors:   Hill Museum and Manuscript Library Collegeville, Kitchen Robert A.
Published: October 2024

This is a first attempt at reimagining the History of Syriac Asceticism to which Arthur Vööbus devoted three volumes from 1958-1988. In the decades since, a great amount of research on all aspects of Syriac asceticism has emerged. Suggestions are offered regarding the range of new materials which could be included, as well as possible strategies for a renewed narrative of how Syriac asceticism developed and the shapes and varieties it assumed.
Importance of therapeutic approach in pulmonary thromboembolism: Case reports
Authors: Gujaničić Dušica , Tadić Miloš
Published: October 2024

After myocardial infarction and cerebrovascular insult, pulmonary thromboembolism is the third leading cause of death. Considering the non-specificity of its presentation and lethality, the timely diagnosis and the selection of an appropriate treatment strategy remain a clinical challenge to this day. In this article, we present two patients with thromboembolism at moderately high risk of early mortality, both in the sixth decade of life, with similar clinical characteristics. Thrombolytic therapy was administered at different stages of the disease to both patients. One patient had a good outcome and the other, unfortunately, had a fatal outcome.
Prehospital care of patients with acute stroke
Authors: Lučić-Prokin Aleksandra , Petrović Radmila , Jokšić-Mazinjanin Radojka , Dragosavac Boris , Živanovic Željko
Published: October 2024

An acute stroke (ischemic or hemorrhagic) is an urgent neurological condition that should be treated as a matter of urgency. The generally accepted therapy of acute ischemic stroke (IS) is intravenous thrombolysis (IVT) and/or endovascular treatment (EVT) of a large vessel occlusion, if applied within a defined period of time (4.5 hours for IVT and up to 6 hours for EVT). In order to start treatment as early as possible, prehospital procedures and rapid transport by the Emergency Medical Service (EMS) to the appropriate health facility have a promising functional outcome. The goal of the article is aimed at optimizing all prehospital components in providing high-quality care for the patients with acute stroke. The stroke chain of survival has several links: laypersons stroke recognition, telephone contact with the EMS dispatcher, approximately accurate prehospital classification of stroke by dispatchers and EMS doctors, clinical and therapeutic procedures in the ground, triage and rapid transport of patients. Modern technologies, which are adapted to prehospital conditions (mobile stroke units and telemedicine), can help optimize this phase of stroke treatment. Regardless of these new technologies, outcomes of stroke can be improved by further optimizing existing prehospital care systems, which could be achieved by incorporating EMS into the overall health system. The feedback on the undertaken procedures and the functional outcome of patients would significantly influence the optimization of the pre-hospital phase of stroke. In our conditions, developing the regionalization of the stroke care network with the involvement of public health management and the education of medical personnel, is a key to the initiative implemented by many health systems in the world. The collaboration of all involved professionals, from triage staff, medical technicians, dispatchers, EMS doctors in the ground and those in health centers, should become one of the goals in our cooperation.
Why gender sensitive language is (not) important?
Authors: Ćorić Dragana
Published: October 2024

The paper discusses the issue of gender-sensitive language, its origin and importance for gender equality. This specific terminology includes terms in the feminine gender for all professions and social statuses, which increases the visibility of women in areas that have traditionally been inaccessible to them for decades. Gender-sensitive language, according to its advocates, improves the relationship between men and women in general, teaches them the existence of equal opportunities and the availability of opportunities for a good and happy life. On the other hand, opponents of gender-sensitive language believe that it is not and cannot be a language because it does not meet the basic linguistic conditions for constituting it, nor are numerous newly invented terms in the spirit of the Serbian language, nor in accordance with existing grammatical rules. The truth is, of course, in the middle. The issue of the use of gender-sensitive language is all the more significant because its use was supposed to be mandatory from the end of May 2024, in educational institutions, the media, and in the daily communication of state authorities, under the threat of high fines. The two sides in this debate have not conceded anything after a full three years, and the decision of the Constitutional Court of Serbia from June 28, 2024, which suspends the application of the named law until the end of the procedure to determine its (un)constitutionality, further distanced both sides. The paper analyzes the decision, that is, the decision of the USS, which officially suspends the application of the named law, as well as the arguments presented by as many as nine petitioners of the initiative.
Kafka and Althusser on interpellation by apparatus: From torture devices to the polygraph
Authors: Damnjanović Srđan
Published: October 2024

The text deals with the problem of interpellation through the apparatus, from the torture device to the modern use of baton, ankle monitor and polygraph, in the context of important theoretical concepts such as interpellation, anomie, state apparatus, etc. Thanks to interpellation, an individual becomes a law subject. In his story "In the Penal Colony" from 1919, Kafka describes a torture method carried out by gradually carving a verdict into the convict's body, by means of a complex apparatus. There are two important theoretical concepts at play here: anomie (Durkheim) and interpellation (Althusser). Anomie is a state experienced by a subject faced with norms imposed on him by society and inadequate means for their realization. Interpellation addresses an individual, in this case through the state apparatus and technical means, thanks to which the individual acquires subjectivity. These two points intersect when the torture apparatus becomes hopelessly outdated, but the office worker stays faithful to it as the external apparatus has been replaced by an internal one. Nowadays, the function of the apparatus has been replaced by the polygraph, baton, ankle monitor, etc., with a change in the elements of interpellation, and the state of anomie being maintained.
Right to be offline: To be or not to be?
Authors: Mladenov Marijana , Serotila Igor
Published: October 2024

It is generally accepted that we are experiencing an era in which our ability to do essential daily tasks and enjoy our fundamental human rights depends extensively on access to the internet. In a world where digital technologies dictate the performance of most daily activities, can an individual choose not to be online? According to estimates from the United Nations International Telecommunication Union, 2.6 billion people, or one-third of the world's population, do not use the Internet.1 Should we consider this data as an exclusive reflection of the number of people who do not have the opportunity to use the internet, or at least a small percentage is a reflection of someone's choice to stay offline? The goal of the paper is to try to contribute to ongoing discussion on the mentioned dilemmas from the law perspective by exploring whether there is a right to be offline under the current human rights framework or stated differently, is it possible for the government or private entities to force individuals to use the internet against their will?