bluuebunny/crossref_metadata_2025 huggingface dataset:
CISpaces.org: From Fact Extraction to Report Generation
Authors: Cerutti Federico  , Norman Timothy J.  , Toniolo Alice  , Middleton Stuart E.
Published: February 2025

We introduce CISpaces.org, a tool to support situational understanding in intelligence analysis that complements but not replaces human expertise. The system combines natural language processing, argumentation-based reasoning, and natural language generation to produce intelligence reports from social media data, and to record the process of forming hypotheses from relationships among information. In this paper, we show how CISpaces.org meets the desirable requirements elicited from senior professionals, and demonstrate its usage and capabilities to support analysts in delivering effective and tailored intelligence to decision makers.
Demonstrating a Benchmark for Defeasible Reasoning
Authors: Hecham Abdelraouf  , Croitoru Madalina  , Bisquert Pierre
Published: February 2025

In this demonstration we focus on the task of a data engineer choosing what tool to perform defeasible reasoning with a first order logic knowledge base.
Impact of Corpora Quality on Neural Machine Translation
Authors: Rikters Matīss
Published: February 2025

Large parallel corpora that are automatically obtained from the web, documents or elsewhere often exhibit many corrupted parts that are bound to negatively affect the quality of the systems and models that learn from these corpora. This paper describes frequent problems found in data and such data affects neural machine translation systems, as well as how to identify and deal with them. The solutions are summarised in a set of scripts that remove problematic sentences from input corpora.
Go with the Flow: Recurrent Networks for Wind Time Series Multi-Step Forecasting
Authors: Manero Jaume  , Béjar Javier  , Cortés Ulises
Published: February 2025

One of the ways of reducing the effects of Climate Change is to rely on renewable energy sources. Their intermittent nature makes necessary to obtain a mid-long term accurate forecasting. Wind Energy prediction is based on the ability to forecast wind speed. This has been a problem approached using different methods based on the statistical properties of the wind time series.
Research of Subgroups Algorithms for Multi-Tasking Cooperative Path Planning
Authors: Zhou Jing
Published: February 2025

Subgroup algorithm composed of the intelligent algorithms is proposed for the multi-tasking cooperative path planning, which can avoid obstacle for the complex environment. Five kinds of intelligent multi-task collaborative planning algorithms, such as the particle swarm optimization (PSO) algorithm, the eight-direction recursive algorithm, the artificial potential field algorithm, the ant colony algorithm and the A* algorithm, are all integrated together, then the agents are divided into each subgroup for each task based on each intelligent algorithm to find the optimal path corresponding with the constraints, thus formed the subgroup algorithm, which are suitable for the multi-task collaborative planning in complex scenes. The effectiveness and feasibility of the multi-tasking cooperative path planning based on subgroup algorithm can be verified from the experiment results.
Basic and Optimization Algorithms for Mining High Utility Co-Location Patterns from Fuzzy Datasets
Authors: Chen Yubing  , Wang Lizhen  , Wang Jialong
Published: February 2025

Mining spatial co-location pattern is a challenging and essential task in spatial data mining, which is aimed to discover the subsets of spatial features frequently observed together in the adjacent geographic space. In this paper, we apply the concept of fuzzy set theory to the high utility co-location pattern mining, which allows one to find all the high utility co-location patterns from fuzzy datasets. Firstly, we define the related concepts, including the utility of fuzzy pattern and its ratio. Secondly, we propose an efficient fuzzy high utility co-location mining basic algorithm and the optimization one. The latter algorithm constructs the star row-instance weighted utility downward closure property, which can significantly improve the efficiency and running time of finding the patterns. Finally, the feasibility of proposed algorithms is experimentally verified using synthetic and real datasets.
Therapeutic Behavior of Robot for Treating Autistic Child Using Artificial Neural Network
Authors: Lee Jin-Gyu  , Lee Bo-Hee
Published: February 2025

The behavior of the robot for the treatment and education of autism spectrum disorders (ASD) children with various characteristic disability symptoms was suggested with the help of artificial neural network (ANN). The proposed method combines ANN with robot motion based on existing field experiments to enhance the therapeutic effect. The newly designed motion classifies the behavior patterns in ambiguous situations while performing the basic specific actions. For implementing this operation, the hardware structure and control algorithm of the robot is also described. The basic structure of Feed-forward Neural Network (FNN) is designed under consideration how to construct and to improve the performance of the robot. This neural network architecture is verified by real robot experiment based on the actions used for actual treatment. In the future, we will expand the hardware supplement and ANN so that it can perform more intelligent actions in various situations and find out the effectiveness of the motion designed by applying it to real field of autistic children education.
Study on Indoor Location Tracking with Two Kinds of BLE Beacons
Authors: Morita Hiroyuki  , Sakai Mizuki
Published: February 2025

As IoT has been progressed, a lot of revolutions have been brought in various fields. Nowadays, Bluetooth Low Energy (BLE) beacons and smart devices are not so specific ones, but we can get considerable benefits by devising them. One of them is indoor location tracking. Methods using GPS is general concerning outdoor, however it is difficult for indoor to get GPS. Hence, we have focused upon BLE beacons, WIFI, and so on. Among them, BLE beacon is one of promising devices. It is because, BLE beacons are inexpensive, consume low energy, and are easy to install them in indoor location, such as supermarket. In this paper, we propose a method to take log data of historical RSSI and estimate indoor location tracking by mining data. In computational experiments, we take the log including accurate location labels automatically by using an automatic traveling robot, and make prediction model based on decision tree model using the data.
Application of 5D World Map System to Large News-Article Database for Realizing Context-Diversity-Responsive Semantic Associative Search
Authors: Sasaki Shiori  , Kiyoki Yasushi  , Fujioka Hanako  , Watanabe Toshihiro  , Otsuka Kyohei  , Ishii Masayuki
Published: February 2025

This paper presents an application of 5D World Map System with Context-Diversity-Responsive Semantic Associative Search for a large database of environmental news articles. By applying 5D World Map System to data describing social and natural phenomena, a new news-article subscription environment is realized by the dynamic combination of various semantic, temporal and spatial “context”. The new subscription environment enables to create, accumulate and visualize a series of analyzed results of semantic relations among phenomena as an interpreted social story. The system realizes the extraction of correlative and causal relations between phenomena which are potentially included in news articles. A semantic associative search method is applied to this system for realizing the concept that “semantics” of words, documents, and events/phenomena vary according to the “context”. The main feature of this system is to create various context-dependent patterns of social stories according to user's viewpoints and the diversity of context in phenomena dynamically. This system also provides an environment for analyzing the time-series change and spatial expansion of social and natural phenomena on a time-series multi-geographical space. In this paper, we show a prototype system applied for vast ten years of news-articles and several experiments about “global warming” to clarify the feasibility of the system.
Christian Elements in the News: Analyzing the News Coverage of the 2011 Great East Japan Earthquake in Japan, Germany and the USA
Authors: Sato Yukiko  , Brückner Stefan
Published: February 2025

This study explores the use of Christian elements in news discourses and analyzes the functions, as well as differences, in the use of religious elements from a semantic approach. We compare the German, American and Japanese news coverage of the 2011 Great East Japan Earthquake (3.11 disaster) between March 2012 and March 2017, following a media discourse analysis approach. We qualitatively analyzed 1,550 national and regional newspaper articles and created a newspaper database in order to display the frequency and uncover the functions of the Christian elements in the coverage. We find that Christian elements are employed in the German and American coverage as metaphors, metonymies and personifications, to describe the 3.11 disaster and its social and political aftermath. Taking a closer look, Christian elements in the coverage function in the following ways: To describe the emotional state of the catastrophe's victims, to evoke certain feelings, such as fear of nuclear energy, in the reader, and to emphasize the opinion of the journalist. Differences in the use of Christian elements in the German and American news coverage also highlight differences in the respective national political and social discourses on nuclear energy and reflect different cultural values regarding environmental issues.
Exploiting Causality in Constructing Bayesian Network Graphs from Legal Arguments
Authors: Wieten Remi  , Bex Floris  , Prakken Henry  , Renooij Silja
Published: February 2025

In this paper, we propose a structured approach for transforming legal arguments to a Bayesian network (BN) graph. Our approach automatically constructs a fully specified BN graph by exploiting causality information present in legal arguments. Moreover, we demonstrate that causality information in addition provides for constraining some of the probabilities involved. We show that for undercutting attacks it is necessary to distinguish between causal and evidential attacked inferences, which extends on a previously proposed solution to modelling undercutting attacks in BNs. We illustrate our approach by applying it to part of an actual legal case, namely the Sacco and Vanzetti legal case.
Towards the Trust Handling Framework for Industry 4.0
Authors: Harlamova Marina  , Kirikova Marite
Published: February 2025

In highly networked systems, such as Industry 4.0, it is essential to take care that only trustworthy elements participate in the network, otherwise the security of the system might be compromised and its functionality negatively influenced. Therefore it is important to identify whether the nodes in the network can be trusted by other elements of the system. The Industry 4.0 involves both human and artificial participants and imposes human-human, artefact-artifact; and human-artefact relationships in the system. This requires comparable interpretation and representation of trust in several areas. For this purpose the paper discusses three trust interpretations (in social sciences, in information systems, and distributed ad-hoc networks) and respective multidimensional trust models; and shows how the elements of the of these trust models can be integrated in the trust handling framework for in Industry 4.0.
Model Based Test Framework for Communications-Critical Internet of Things Systems
Authors: Pal Deepak  , Vain Jüri
Published: February 2025

In Industry 4.0 large-scale discrete event systems (DES) are becoming increasingly dependent on internet of things (IoT) based real-time distributed supervisory control systems. In order to meet the IoT growing demand, new technologies and skills are being developed which require an automated systematic testing to achieve success in adoption. Testing such systems requires an integration of computation, communication and control in the test architecture. This may pose number of issues that may not be suitably addressed by traditional centralized test architectures. In this paper, a distributed test framework for testing distributed real-time systems is presented, where online monitors (executable code as annotations) are integrated to systems to record relevant events. The proposed test architecture is more scalable than centralized architectures in the sense of timing constraints and geographical distribution. By assuming the existence of a coverage correct centralized remote tester, we give a partitioning algorithm of it to produce distributed local testers which enables to meet more flexible performance constraints while preserving the remote tester's functionality. The proposed approach not only preserves the correctness of the centralized tester but also allows to meet stronger timing constraints for solving test controllability and observability issues. The effectiveness of the proposed architecture is demonstrated by an illustrative example.
When WordNet Met Ontology
Authors: Fellbaum Christiane  , Hicks Amanda
Published: February 2025

WordNet is a large lexical database originally conceived as a model of human semantic memory. While its design loosely follows ontological principles, it was developed by linguists and psychologists without the benefit of input from philosophers. WordNet's unexpected popularity as a tool for Natural Language Processing and Knowledge Engineering revealed the irregularities of the lexicon and the need to clearly distinguish the lexical from the conceptual level consistent with ontological research, as articulated in the work of Nicola Guarino and his colleagues. This paper reviews WordNet's development from a lexicon to a resource that incorporates some ontological principles.
Towards a Logical Foundation of Reification in Modelling Languages
Authors: Artale Alessandro  , Franconi Enrico
Published: February 2025

We consider the notion of reification as adopted in standard conceptual modelling languages and provide a logical formalisation using description logics. To this purpose, we use the description logic DLR+, an extension of the n-ary propositionally closed description logic DLR to deal with attribute-labelled tuples (generalising the positional notation), projections of relations, and objectification/reification of relations. This paper conducts a general investigation on the expressive power required on description logics to capture the different constructs used in conceptual models with a particular emphasis on relation reification.
Investigating the Anti-Tubercular Potential of Novel Non-Antibiotic Agents against Drug-Resistant Mycobacterium Tuberculosis
Authors: Khan Muhammad Fayaz , Ali Amjad , Khan Sadiq Noor , Obaid Ayesha , Mehwish Awan Faryal , Khan Anwar Sheed , Jabbar Abdul
Published: February 2025

Background. The ever-increasing prevalence of multidrug-resistant Mycobacterium tuberculosis (MDR-TB) presents an alarming challenge to existing tuberculosis (TB) treatment stratgies. Hence, the current study explores the potential of dihydroergotamine and abiraterone acetate, two non-antibiotic compounds, as innovative anti-tubercular agents.
Methods. In silico analyses were conducted to identify potential drug targets for dihydroergotamine and abiraterone acetate. Subsequently, these compounds were evaluated for their bactericidal efficacy against both the reference H37Rv strain and an MDR-TB strain of M. tuberculosis in vitro. A range of drug concentrations were tested to determine their inhibitory effects.
Results. Both dihydroergotamine and abiraterone acetate exhibited substantial inhibitory activity against M. tuberculosis. Dihydroergotamine demonstrated efficacy at higher concentrations (128 µg and 256 µg), while abiraterone acetate exhibited potency at lower concentrations (64 µg, 128 µg, and 256 µg). The observed dose-dependent inhibitory effect emphasizes the importance of optimizing drug concentrations in anti-tubercular therapy.
Conclusion. Both compounds act as potential anti-tubercular agents by effectively inhibiting the growth of M. tuberculosis, with abiraterone acetate demonstrating greater potency at lower concentrations. These findings suggest both compounds may be promising candidates for further research and development as potential treatments for tuberculosis.
Genetic Variability of Xanthomonas citri pv. citri in South Punjab, Pakistan
Authors: Raza Sufyan , Riaz Hasan , Zia Faheem , Kanwal Seema , Khan Sabeeh , Hassan Muhammad , Ullah Sami , Qayyum Mirza Abdul , Ahmed Nadeem , Imran Muhammad , Zafar Muhammad Shahzad , Zain Maryam
Published: February 2025

Background. Citrus is an important nutritious fruit that belongs to the family Rutaceae, comprising a large group of trees and shrubs. Citrus constitutes about 40% of all fruits grown in Pakistan. The total contribution of kinnow, grown in Pakistan, in the international market is US$ 222 million. In Pakistan, citrus production has been recorded up to 2.0 million metric tons. There are multiple abiotic and biotic factors involved in the low productivity of citrus in the country. Moreover, citrus canker (caused by the pathogen Xanthomonas citri pv. citri) has been the major threat for citrus production in Pakistan for the last 10 years. The current study aims to document the disease incidence of citrus canker along with the characterization of citrus canker causal organism.
Method. Samples exhibiting disease symptoms (such as small pimple-like spots about 1 mm in diameter and yellow in colour) were collected from the target areas. After isolation and purification, the samples were subjected to PCR analysis for molecular identification and characterization through SDT and MEGA11 software packages.
Results. A total of 112 samples were collected from different sites in South Punjab, Pakistan. The bacterial colonies were small and yellow in color, which turned pink after staining. Bubble formation was also observed after conducting biochemical tests. Genetic analysis showed that Xanthomonas citri pv. citri Multan isolate has 98.91% nucleotide identity with Indian, Korean, Chinese, and South African isolates.
Conclusion. The study underlines the emerging pathogen population of citrus canker that could help to manage this disease.
Effects of Preloading with High Dose of Atorvastatin Prior to Percutaneous Coronary Intervention: A Single Center Randomized Controlled Trial
Authors: Zahoor Sarmad , Yasmin Samra , Hashmi Zia ur Rehman , Mahboob Hafiz Mudabbar , Khawaja Muhammad Ali , Iqbal Sadia
Published: February 2025

Background. Percutaneous coronary intervention (PCI) establishes the blood flow back to the heart. However, it can damage myocardium, leading to various cardiovascular events. Atorvastatin have beneficial pleiotropic cardiovascular effects, in addition to their lipid-lowering effects. Little work has been conducted with regard to its preloading in developing countries. This study aimed to analyze the effects of statin preloading in patients undergoing PCI in terms of reduction in major adverse cardiovascular events (MACE).
Methodology. This randomized controlled study was conducted at the Punjab Institute of Cardiology, Lahore for 6 months. A total of 186 patients undergoing elective PCI were included through non-probability consecutive sampling. Informed consent and demographic information were obtained. Two groups were formed, that is, the experimental group (receiving 80 mg atorvastatin prior to PCI) and the control group (not receiving atorvastatin before PCI). All patients were followed up at the intervals of 24 hours, 48 hours, and 1 month. MACE was calculated and data was analyzed in SPSS 26.0.
Results. The current study showed that the average age of participants was 55.10 ± 8.69 (age range 32-71 years). A total of 155 (83.33%) male participants and 31 (16.67%) female participants were enrolled for the study. Among the participants, there were 115 (61.8%) patients with diabetes mellitus, 102 (54.8%) with hypertension, 76 (40.9%) with dyslipidemia, and 91(48.9%) had a history of IHD. There were 10 patients who had major cardiovascular events. So, MACE came out to be 5.4%. Comparing both the groups, there were 2/93 (2.1%) patients in the experimental group who had MACE, whereas 8/93 (8.6%) patients had MACE in the control group. This difference was not statistically significant (p-value = 0.1).
Conclusion. Atorvastatin preloading before PCI reduces MACE by improving the perfusion of the myocardium.
Screening Enterococcus Isolates for Antimicrobial and In Vitro Antitumor Activity against Colorectal Carcinoma
Authors: Siddiqa Ayesha , Hassan Ashba , Nawaz Shahid , Sajid Imran
Published: February 2025

Background. Enterococci are a part of the natural intestinal flora of humans and animals and play an important role in keeping the microbial balance in the gut. Many species of Enterococci are also used as probiotics that produce vitamins, stimulate the immune response, and maintain the integrity of the gut. The use of dietary supplements to reinforce some gut flora components is a current aspect of functional food sciences to treat various diseases.
Methodology. In the current study, 21 Enterococcus strains were isolated and identified morphologically, biochemically, and physiologically. The strains were analyzed for their metabolomics potential by using thin layer chromatography (TLC) and high-performance liquid chromatography (HPLC) analyses, while the disc diffusion method was employed to assess their antibacterial potential against the known pathogens. The in vitro antitumor activity was determined against HCT 116 colorectal carcinoma (CRC) cell lines at different concentrations including 12 mg/ml, 25 mg/ml, 50 mg/ml, and 100 mg/ml.
Results. Out of the 21 strains, 9 showed antimicrobial activity against Pseudomonas, Enterobacter, Klebsiella, and Staphylococcus. Several strains showed sensitivity against certain antibiotics, such as amoxicillin, norfloxacin, streptomycin, vancomycin, and nalidixic acid. The crude extracts of the isolates also showed high cytotoxicity against Artemia salina and significant antitumor activity against HCT 116 colorectal carcinoma CRC cell lines. The crude extracts of these Enterococcus strains exhibited the presence of a variety of bioactive metabolites by using TLC and HPLC analysis.
Conclusion. The study revealed that the antimicrobial compounds produced by these bioactive Enterococcus strains can be used against Pseudomonas, Enterobacter, Klebsiella, and Staphylococcus. Moreover, these strains can be investigated as potential probiotic agents to treat colorectal cancer because of their significant in vitro antitumor activity against CRC.
An Introduction to Economic Analysis of Pest Management: A Case Study of Nematode Management
Authors: Li Yi , Cai Yetian , Weng Weizhe , DeSaeger Johan , Guan Zhengfei
Published: February 2025

The economic performance of pest management practices is a critical factor when farmers make adoption decisions. Partial budget analysis is a widely used tool to evaluate the financial effects of different management practices in agricultural production. It provides an economic rationale for selecting the optimal treatment by evaluating the cost-effectiveness of the treatment. This publication explains how to employ partial budget analysis using a real-world example. It provides a step-by-step guide examining the costs and benefits of two different approaches, fumigation and nematicides, to manage nematodes on Florida's tomato farms.
Unlocking the Potential of Technology: Estimating Nitrogen Requirement in Corn Using Optical Sensors
Authors: Sharma Lakesh K. , Leitão Diego A. H. de S. , Singh Hardeep
Published: February 2025

In the domain of agriculture, the application of optical sensing technology has become increasingly prevalent in the assessment of corn grain production. However, it is notable that comprehensive research endeavors addressing the efficacy of employing the Normalized Difference Vegetation Index (NDVI) as a predictive tool for corn grain yield in the specific context of Florida remain limited. To address this gap in knowledge, a dedicated study focusing on nitrogen (N) rates was meticulously designed in 2022. The primary objective of this study was to provide critical insights and empirical evidence to both our extension agents and the community of corn farmers. Its overarching aim is to elucidate the practical utility of NDVI sensors in forecasting crop output and facilitating precise estimations of N requirements.
Histosols of South Florida: Past, Present, and Future
Authors: Bai Xue , Li Yuncong , Manirakiza Noel , Coffin Christine , Bhadha Jehangir H.
Published: February 2025

This factsheet presents a comprehensive overview of Histosols, also known as organic soils, in South Florida, focusing on their distribution, formation, properties, and significance. Histosols cover significant areas in Florida, especially within the Everglades Agricultural Area (EAA), and are pivotal in supporting the region's sugarcane production. Their formation is influenced by organic parent materials, the tropical climate, vegetation types, topography, and time, which together shape their unique chemical, physical, and biological properties. Moreover, this publication reviews past developments and anticipates future changes in Histosol classification and management. By revealing the past, present, and future of Histosols in South Florida, this publication can help improve land management in the region and enhance the understanding of Histosols for audiences including agricultural producers, Extension agents, state and local agencies, decision-makers, researchers, and students.
ANALISIS SENGKETA EKSEKUSI JAMINAN FIDUASIA ANTARA KREDITUR DAN DEBITUR DALAM KREDIT MACET
Authors: Arifin Zainul , Doso Musram
Published: February 2025

Sengketa eksekusi jaminan fidusia dalam kasus kredit macet merupakan permasalahan yang kerap terjadi antara kreditur dan debitur. Persoalan ini muncul akibat perbedaan penafsiran terhadap pelaksanaan eksekusi jaminan fidusia, terutama terkait hak dan kewajiban masing-masing pihak serta prosedur hukum yang harus diikuti. Penelitian ini bertujuan untuk menganalisis faktor-faktor penyebab sengketa eksekusi jaminan fidusia, mekanisme penyelesaian sengketa yang tersedia, serta efektivitas perlindungan hukum bagi kreditur dan debitur. Metode penelitian yang digunakan adalah pendekatan yuridis normatif dengan analisis terhadap peraturan perundang-undangan terkait serta studi kasus putusan pengadilan yang relevan. Hasil penelitian diharapkan dapat memberikan wawasan mengenai implementasi eksekusi jaminan fidusia di Indonesia serta rekomendasi untuk meningkatkan kepastian hukum dan keadilan bagi para pihak yang terlibat dalam sengketa kredit macet.
Classification of Thyroid Class using ID3 Algorithm and Artificial Neural Network (ANN)
Authors: Henisaniyya Nabila , Pertiwi Citra , Desiani Anita , Amran Ali , Arhami Muhammad
Published: February 2025

Thyroid disease refers to a range of conditions or issues affecting the thyroid gland. This gland, located below the Adam’s apple, is responsible for coordinating various metabolic processes in the body, making its function essential. Early detection of thyroid symptoms is crucial as an initial step in planning the necessary treatments to prevent more severe thyroid-related health risks. One commonly applied method for early detection involves classification using a data mining approach. Among the algorithms frequently used for classification are the ID3 algorithm and Artificial Neural Networks (ANN).
This study aims to obtain the best classification results for detecting thyroid disease by comparing these two algorithms. The accuracy results for percentage split testing were 88% for ID3 and 90% for ANN. Meanwhile, the accuracy values for K-Fold cross-validation were 93% for the ID3 algorithm and 95% for the ANN algorithm. Additionally, the overall average precision and recall values for both algorithms were above 75% for percentage split testing and above 90% for K-Fold cross-validation. The results indicate that ANN achieved higher percentages compared to ID3. Based on the accuracy, precision, and recall values obtained from both algorithms, it can be concluded that the ANN algorithm performs better than ID3 in classifying thyroid disease.
Analysis of Public Perception on Domestic Violence Cases using Support Vector Machine Algorithm
Authors: Husnah Mirdatul , Hidayat Rahmat
Published: February 2025

Domestic violence is currently a case that is easily exposed by the public. People can easily find many cases through social media. The latest case was experienced by a social media influencer, Cut Intan. This case has attracted public attention and is widely discussed on several social media, one of which is on the X app. With this phenomenon, an analysis of public sentiment towards domestic violence cases that occur in Indonesia is needed. The analysis was conducted using the Support Vector Machine algorithm, a classification algorithm that can classify values into certain classes and has a good level of accuracy. Experiments on analyzing public sentiment towards domestic violence cases using the SVM algorithm resulted in an accuracy score of 95%. The precision score for negative sentiment is 94%, neutral sentiment is 100%, and positive sentiment is 100%. The recall result for negative sentiment is 100%, neutral sentiment is 67%, and positive sentiment has a value of 77%. The results of the f-1 score on negative sentiment are 97%, 80% neutral sentiment, and 87% positive sentiment. While the percentage of community sentiment obtained is 84.40% having negative sentiment, 8.24% having positive sentiment, and 7.36% having neutral sentiment.
Optimizing the Potential of Leather Micro Industry through Innovation and Product Diversification by the Department of Industry, Trade, Energy, and Mineral Resources of Garut Regency
Authors:   Insitut Pemerintahan Dalam Negeri (IPDN), Prihatini Julitati , Wijaya I Made Aldy ,   Insitut Pemerintahan Dalam Negeri (IPDN)
Published: February 2025

Raw materials for sheepskin products are easily obtained in Sukaregang, Kota Wetan Village because it is a leather industry center. The Department of Industry, Trade, Energy, and Mineral Resources (Disperindag ESDM) of Garut Regency strives to improve the welfare of micro-industry business actors from leather through innovation and product diversification. The purpose of this study was to determine efforts to optimize local potential through innovation and product diversification carried out by the department, as well as inhibiting factors and efforts to overcome inhibiting factors. This research method is qualitative descriptive. Data collection techniques with observation, interviews, and documentation. Data analysis techniques include data reduction, data presentation, and drawing conclusions. The theory used is the optimization theory according to Siringoringo. The results of the study indicate that business actors have several inhibiting factors in efforts to optimize local potential. Efforts made by the Disperindag ESDM of Garut Regency to overcome these inhibiting factors include adding employees, providing capital assistance, and providing training and mentoring for product marketing through digital media and e-commerce
Automation and Safety for Agriculture and Forest Conservation Using IOT
Authors: PrasathKumar V  , Mohnish S  , Prakash K  , Vikram K S K
Published: February 2025

This paper presents an IoT-based automation system for agriculture and forest conservation, aimed at improving efficiency, sustainability, and safety. The system integrates smart sensors, machine learning (ML), and real-time monitoring to address key challenges such as inefficient resource management, delayed hazard detection, and environmental degradation. The proposed system uses environmental sensors to monitor soil moisture, temperature, humidity, air quality, and fire risks, allowing for automated irrigation, predictive analytics, and early detection of threats like wildfires and deforestation. Machine learning models optimize resource allocation and hazard prediction, enhancing decision-making capabilities. A cloud-based dashboard enables remote monitoring and control, ensuring a proactive approach to agriculture and forest conservation. This solution significantly improves yield, reduces human intervention, and minimizes environmental risks through automation and real-time data processing.
Event-Driven Architecture: Building Responsive Enterprise Systems
Authors: Sagar Chaudhari
Published: February 2025

This comprehensive article explores the evolution and implementation of Event-Driven Architecture (EDA) in modern enterprise systems. It explores the fundamental components, patterns, and best practices that enable organizations to build responsive and scalable applications. The article analyzes various aspects of EDA implementation, including message broker selection, schema design, and performance optimization strategies, while providing detailed insights into real-world applications across different industries. Through extensive analysis of deployment scenarios and performance metrics, the article demonstrates how EDA transforms traditional request-response patterns into dynamic, asynchronous communication models that significantly enhance system responsiveness, operational efficiency, and business outcomes.
The Evolution of Data Engineering: Meeting Modern Regulatory Demands through Technology
Authors: Amarnath Reddy Chandra
Published: February 2025

This comprehensive article explores the intersection of emerging technologies and regulatory compliance in modern data engineering practices. The article examines how organizations are leveraging advanced technologies to meet increasingly complex regulatory requirements while maintaining operational efficiency. It explores the implementation of real-time compliance monitoring systems, blockchain integration, and federated learning across various regulated industries, particularly in financial services and healthcare sectors. The article also addresses practical implementation considerations, including technical infrastructure requirements, integration challenges, and risk management protocols. Through analysis of multiple industry studies and research findings, the article demonstrates how technological innovation is transforming regulatory compliance practices while enabling secure data sharing and cross-organizational collaboration.
STRATEGIC COMMUNICATIONS MODELING: ECONOMIC-MATHEMATICAL APPROACHES TO ORGANIZATIONAL CHANGE MANAGEMENT
Authors:   Open International University of Human Development "Ukraine", Babenko Kristina , Dyvynska Yulia ,   Open International University of Human Development "Ukraine"
Published: February 2025

The article explores the modelling of strategic communications using economic-mathematical approaches to organizational change management. System dynamics models, agent-oriented
modelling, and network analysis are considered, which contribute to the optimization of communication processes. The article emphasizes the importance of effective communication for reducing
resistance to change, increasing the adaptability of organizations, and achieving strategic goals.
Recommendations are provided for the implementation of models to improve management decisions and ensure the successful implementation of organizational changes.
ІННОВАЦІЙНИЙ РОЗВИТОК ТА ФІНАНСОВИЙ ПОТЕНЦІАЛ ПІДПРИЄМСТВ ЗВ’ЯЗКУ: СТРАТЕГІЧНІ ПІДХОДИ ДО ПІДВИЩЕННЯ КОНКУРЕНТОСПРОМОЖНОСТІ В УМОВАХ ЦИФРОВОЇ ТРАНСФОРМАЦІЇ
Authors: Житар Максим
Published: February 2025

У статті детально проаналізовано інноваційний розвиток та фінансовий потенціал підприємств зв’язку в умовах глобалізації та стрімкої цифрової трансформації економіки. Автор акцентує увагу на ролі інноваційних технологій, таких як 5G, хмарні сервіси, блокчейн і штучний інтелект, у забезпеченні конкурентоспроможності підприємств галузі. Розглянуто основні виклики, що постають перед телекомунікаційними компаніями: дефіцит інвестицій для модернізації інфраструктури, високі витрати на впровадження новітніх технологій, загострення конкурентної боротьби на міжнародному ринку, зростання ризиків кібербезпеки та необхідність адаптації до змін регуляторного середовища. Проведено аналіз фінансового потенціалу провідних українських телекомунікаційних операторів («Київстар», «Vodafone Україна», «Lifecell»), а також виявлено їхні сильні сторони та потенційні зони для покращення. Встановлено, що ПрАТ «Київстар» займає домінуючі позиції за ключовими фінансовими показниками, включаючи виручку, чистий прибуток і кількість абонентів. Однак, для всіх підприємств галузі спільними є потреби в оптимізації фінансових потоків, залученні венчурного капіталу та впровадженні аналітичних платформ для аналізу витрат. Автор також розглядає інноваційні підходи до управління ризиками, зокрема використання штучного інтелекту, машинного навчання та блокчейн-технологій. У статті наголошується на важливості інтеграції стратегій інноваційного розвитку в загальні бізнес-моделі, що дозволяє компаніям швидко реагувати на зовнішні виклики, підвищувати якість послуг та посилювати клієнтоорієнтованість. Особливу увагу приділено впровадженню гнучких бізнес-моделей (Agile, Lean), які забезпечують адаптивність компаній до ринкових змін і підвищують їхню операційну ефективність. Висвітлено роль партнерських екосистем у розвитку телекомунікаційного сектору, які сприяють залученню додаткових ресурсів та обміну знаннями. Крім того, розглянуто важливість інновацій у кадровому забезпеченні, що включає підвищення кваліфікації працівників у сфері фінансового аналізу та управління інноваціями. На основі проведеного аналізу запропоновано стратегічні напрями вдосконалення діяльності підприємств зв’язку, серед яких оптимізація фінансових ресурсів, розвиток інноваційних технологій, підвищення ефективності управління ризиками та інтеграція сучасних цифрових платформ.
TOOLS FOR MANAGING THE RISKS OF FOREIGN ECONOMIC ACTIVITY
Authors:   Lviv Polytechnic National University, Vysochan Olha , Korenovskyi Orest ,   Nicolaus Copernicus Superior School (Warsaw, Republic of Poland), Lytvynenko Natalia ,   Lviv Polytechnic National University
Published: February 2025

Risks of foreign economic activity are a key factor that should be taken into account when making management decisions, since they directly affect the final financial result of a company and the prospects for its strategic development. The article examines the main tools used in the global practice of risk management in foreign economic activity, with a focus on the advantages and disadvantages of their application. Risk management in foreign economic activity involves identification of risks from the general population and development of ways to minimise the economic losses associated with them with the help of appropriate tools. The article provides techniques and methods of risk management in foreign economic activity and describes automated systems used in the world practice of risk management. The most common tools used in risk management are allocated: probability and impact matrix, risk data quality assessment, risk identification, SWOT-analysis, risk register, root cause analysis, decision-making, risk taking, risk reassessment, brainstorming, risk monitoring, Delphi technique, checklists, reserve analysis. The disadvantages of the tools used are the subjectivity of users’ judgements, the labour intensity of the process and the need to process a significant amount of information. The article also reveals the advantages and disadvantages of using automated tools used in risk management, in particular, such as: Mitratech Alyne, Corporater, Splunk Enterprise, Resolver, Cority, Lockpath Keylight Platform, Diligent, Essential ERM and SAI360. It has been determined that an important advantage of many platforms is their focus on GRC (Governance, Risk and Compliance), which is aimed at managing risks in accordance with the organisation`s business goals and in compliance with legal, regulatory requirements and industry standards. Other advantages include continuous real-time monitoring functions for prompt decision-making and the ability to integrate with other business intelligence tools. The main disadvantages of the automated systems in question are the complexity of use and partial unsuitability for small businesses, the need for additional staff training, and the lack of transparent pricing for most programmes.
STRATEGIC STAKEHOLDER ANALYSIS FOR FORMING INTEGRATED CORPORATE REPORTING IN THE CONTEXT OF INCREASING SOCIAL RESPONSIBILITY
Authors:   Vasyl Stefanyk Precarpathian National University, Shkromyda Vitalii , Myhovych Tetіana ,   Vasyl Stefanyk Precarpathian National University, Kuzyshyn Igor ,   Vasyl Stefanyk Precarpathian National University
Published: February 2025

The article explores the significance of strategic stakeholder analysis in the preparation of integrated corporate reporting in the context of increasing social responsibility. It highlights the necessity of addressing the multidimensional interests of stakeholders to enhance the relevance and transparency of reporting. The study proposes a comprehensive approach to stakeholder analysis, comprising identification, assessment of influence, and development of interaction models. Integrated reporting, which combines financial and non-financial data, serves as a vital tool for fostering trust and communication between businesses and stakeholders. The research emphasizes the dynamic nature of stakeholder analysis, which must account for changes in both the external environment and internal business structures. This dynamic approach ensures the adaptability of companies to evolving challenges and improves the quality of reporting to meet the expectations of various stakeholder groups. Furthermore, the study identifies key challenges in implementing stakeholder analysis, including data collection, managing conflicting interests, and a lack of awareness about modern analytical tools. Practical recommendations are offered to enhance the efficiency of integrated reporting through regular updates of stakeholder information, adoption of advanced technologies, and active stakeholder engagement in reporting processes. The findings underscore that strategic stakeholder analysis not only improves corporate reporting but also strengthens trust and collaboration with stakeholders, contributing to long-term business sustainability and competitiveness. The paper concludes by proposing a roadmap for improving the integration of stakeholder analysis into corporate reporting practices, ensuring alignment with modern standards of corporate social responsibility and sustainable development. The study demonstrates that an effective stakeholder-oriented approach can serve as a critical driver for building resilient and transparent corporate practices in a globally competitive environment.
THE REPORT ON SUSTAINABLE DEVELOPMENT AND INVESTMENTS: MANAGERIAL CAPITAL OF AGRIBUSINESS
Authors:   Leibniz Institute of Agricultural Development in Transition Economies, Gagalyuk Taras , Metelytsia Volodymyr ,   State Tax University; Leibniz Institute of Agricultural Development in Transition Economies
Published: February 2025

The post-war restoration of Ukraine's agricultural sector requires a "green" transition to sustainable agricultural practices. One of the key aspects of such a transition is the unification of sustainability reporting, which will allow for an adequate assessment of the managerial capital of agricultural enterprises in the context of European integration requirements. The article aims to present the proposed standardized forms, indicative values, and indicators for disclosing information on managerial capital in the Report on Sustainable Development and Investments (ESGI report) in the agricultural sector of the Ukrainian economy. The study used EU regulatory legal acts, statistical data, and reports of Ukrainian agricultural holdings. The methodological basis was analogy, logical generalization, system analysis, induction, and deduction. To assess the incentives of agricultural enterprises to transition to agri-environmental schemes, the authors analyze the works of foreign scientists based on the application of discrete choice experiments. The indicators of sustainable development of managerial capital disclosed in the article represent the third part of the ESGI report, developed for agricultural enterprises and published on the sustainability reporting (SR) platform (see references for the respective link). The main focus is on indicators such as management risks, management capabilities of the transition to "green" technologies, diversity of the composition of management bodies, compliance with the EU Taxonomy, suppliers and contractors relationships management, anti- corruption measures and compliance, political influence and lobbying, as well as payment discipline. One of the principles of preparing information on managerial capital is to consider the size of the enterprise. In particular, large enterprises are obliged to disclose key performance indicators related to climate (including turnover, capital expenditures (CapEx) or operating expenses (OpEx)). Small (micro-) and medium-sized business entities can voluntarily disclose such information. If OpEx are not significant for the enterprise's business model, it is advisable to exempt such an enterprise from calculating the OpEx KPI indicator related to the service life of assets. The proposed matrices make it possible to transform actual data into points and diagrams - to visualize the assessment results. The data received from agricultural enterprises will allow for the collection of information for further improvement of reference values and optimization of the reporting forms.