bluuebunny/crossref_metadata_2025 huggingface dataset:
Developing the System Model of Human Behaviour and Its Implications on Social Systems Design
Authors: Yeo Ysanne , Niitsuma Masahiro
Published: November 2023

With human interaction systems becoming more interconnected and complex, it is imperative that we validate the human model which solutions are based on to avoid unintended negative outcomes from any oversights. While various hypotheses of human factors relating to human performance have been proposed, they have largely been studied in isolated paradigms which pose the challenge for systems engineers to derive complete and precise requirements in designing human interaction systems. In light of this gap, this paper utilises model-based systems engineering methods to develop a working system model of human behaviour based on transdisciplinary research findings. By abstraction and synthesis of the human-environment relationship and its evolution in modern society, this research finds the need to expound on research beyond cognitive processes, to glean insights into the directives of the human body and its subjective bodily senses that affect behavioural outcomes. This paper demonstrates the use of systems engineering formalism to integrate humans into wider systems modelling efforts with a proposed human behaviour model as the basis for discussion.
Understanding the Skill Requirements in Transdisciplinary Engineering Projects
Authors: Sajdakova Jana , Carey Emily , Newnes Linda
Published: November 2023

Increasingly complex engineering practice involves disciplines within and beyond engineering. Approaches that enable the integration of different knowledge and perspectives and drive innovative responses to complex engineering challenges are required. As a result, the transdisciplinary approach to working gained increased attention. To date, literature seeks to characterise transdisciplinary projects or individuals; it has yet to characterise who might employ transdisciplinary skills in industry or the extent such skills are displayed. This paper captures personal reports of the skills most important for such projects and considers those skills most pervasive or critical. Posing the question; Is there a requirement for only transdisciplinary individuals rather than whole transdisciplinary teams? In this paper, we utilise a transdisciplinary competency framework to map disciplinary skills identified by 30 participants in six transdisciplinary engineering projects. Results show only a small subset of skills are critical to its success where (33%) are transdisciplinary and (59%) are interdisciplinary. This suggests solving transdisciplinary problems requires in addition to disciplinary expertise, competency profiles that include TD and ID skills relating to collaboration and communication, knowledge sharing and willingness to collaborate. We find evidence for the presence of ’brokers’ or key individuals that can enable the integration of others effectively, have technical understanding, and have the ability to communicate and translate between experts and non-experts. These brokers act as the key enablers of collaborations across disciplinary boundaries, demonstrating the characteristics of a TD personnel and should be the targetted user of the disciplinary tools in projects.
Service Science & Engineering: Transdisciplinary Epistemology
Authors: Tang Victor
Published: November 2023

In the absence of an axiomatic and rigorous foundation, Services risk, at best, being a narrow multi/inter-disciplinary domain At worst, it is a trade or a craft like plumbing or hairdressing. To address this weakness, we propose an epistemological foundation for a transdisciplinary Service Science and Engineering. The epistemology is predicated on a set of normative axioms, first principles, and a differential equation. We argue that a truly convincing transdisciplinary foundation must be able to derive and uncover new, novel, and quantitative transdisciplinary themes, which have escaped conventional qualitative analyses. To that end, we reveal and discuss the property of chilarity and the principle takchronicity for services. Physics, unlike services, has the laws of nature and mathematics to serve as a normative base. Similarly, mathematics is grounded on lemmas and theorems. This base enables new insightful theorems and novel mathematical theories like geometry and topology. All sciences require normative axioms, but they are not sufficient to frame a transdisciplinary science or engineering. There must be also a right way that legitimizes the praxis. For example, the Scientific Method. Hence, we will introduce our Services Method. Altogether, our epistemological base, analytic equations, new transdisciplinary themes, and Service Method help frame Services Science and Engineering more rigorously.
Industrial Management for Industry 4.0 – Simulation System to Support Learning of Opportunities and Challenges of Dealing with Real-Time Data
Authors: Lima Rui M. , Gonçalves Bruno S. , Lopes Erik T. , Tino Vicente , Sousa Rui M.
Published: November 2023

The fourth industrial revolution brings many opportunities for the exploration of new business models, based on increasing digitalization that ultimately enables the prediction of the behavior of systems. Several challenges may be identified in the Industrial Management (IM) field. One of the most relevant is the opportunity to deal with real-time data and adapt the decision-making processes with agile approaches. IM learners will need to increase their awareness of these opportunities and challenges, both in professional training and in higher education. Thus, this study proposes a simulation system to support the learning process of opportunities and challenges to deal with big data from production systems’ sensors. The proposed simulation system implements simple dispatching rules for the jobs entering the production queue. Additionally, the system allows the creation of many coupled machines, each one associated with a one-level bill of materials, and a set of sensors delivering data to an excel file simulating a cloud. The study will show how to use the data in a learning experience for learners to understand the high amount of data delivered by sensors and the type of information and decisions it allows.
Towards a Framework for Understanding Transdisciplinary Engineering in Policy Practice: Insights from the UK’s Energy Ministry
Authors: Liote Laurent
Published: November 2023

The UK’s energy ministry is an ideal site to understand transdisciplinary engineering (TE) in policy practice as effective net-zero policies require a mix of engineering and socio-political knowledge. Combining engineering expertise with other disciplinary knowledge for policy however is no easy feat and many barriers and facilitators exist at the structural, actor, and process levels. Based on two years of ethnographic data, this paper explores how the ministry’s institutional set-up, experts and processes enable or hinder TE in net-zero policy practice. Using empirical examples, we explore how the ministry’s policy culture and structural evolution over time influences the take-up of engineering advice in policy. We also analyse which actors within the ministry and outside collaborate and what knowledge is drawn upon. We then look at how differences in policy process influence how engineering advice is given, and how it is combined with other types of expertise. The paper ends with a framework, based on our case study, Engineering Studies, Science and Technology Studies and Expertise in Policy literature to understand TE in policy practice more broadly and its implications for experts’ skills and governance structures.
System Dynamics Simulation to Reduce the Number of Patients with Lifestyle-Related Diseases and Medical Costs in Japan by Promoting Behavioral Change
Authors: Kawai Shingo , Toriya Masako , Toma Tetsuya
Published: November 2023

Globally, many countries are about to become super-aging societies. This will likely be accompanied by a decrease in the ratio of working-age population and an increase in medical costs. In such societies, lifestyle-related diseases (LDs) account for a significant proportion of medical costs. LDs will gradually lead to disorders like hypertension, diabetes, and dyslipidemia, which may worsen and develop into more serious diseases. Therefore, it is important to promote behavioral change among the public to prevent the onset of LDs from the pre-disease stage. In this study, we developed a system dynamics model to simulate the number of patients with LDs and the medical costs, using statistical data in Japan as a case study. Utilizing two aging chains for each sex, which can describe the changes in the age-dependent structure of stocks, we represent populations of LD patients and non-LD patients by generation, and estimate changes in their population structure and associated medical costs by 2050. Compared with the current pace of change, by reducing the morbidity rate of LDs in each generation in line with their behavioral changes, we identify the effect of reducing the number of LD patients and medical costs. Furthermore, to effectively reduce these numbers, it is important to realize not just behavior change for a single generation but a series of behavior changes across generations. Thus, if statistical data are present, our model can predict the number of LD patients and medical costs for any country.
Integrating Deep Learning Models and Depth Cameras to Achieve Digital Transformation: A Case Study in Shoe Company
Authors: Yang Li-Sheng , Chiu Ming-Chuan
Published: November 2023

In today’s fiercely competitive industrial environment, digital transformation and smart manufacturing have become important strategies for enhancing competitiveness. Digital transformation utilizes advanced technology and data analysis to make manufacturing processes more intelligent and automated, improve product quality, reduce production costs and time, and increase production efficiency. Smart manufacturing further applies machine learning, deep learning, and artificial intelligence to make the production process even more intelligent and automated. However, existing object detection models such as YOLO can only provide rectangular bounding boxes and cannot determine the actual rotation angle and inclination of objects, and lack discourse on hardware integration. Therefore, this study proposes a deep learning-based method framework that combines Yolov5 and Mask R-CNN to detect objects in real-time and calculate the object’s center point coordinates, reference point coordinates for rotation direction, and inclination angle. This is integrated with a depth camera to obtain the distance between the robotic arm and the object, providing all the information required for the robotic arm to grasp the object. In simulated scenarios of stacking shoe insoles, the model proposed in this study achieved an accuracy of 97%. This technology can be applied in the factory production process, allowing robotic arms to accurately grasp objects from cluttered piles at the correct coordinates and angles, and perform sorting and assembly tasks. It can also help companies reduce costs and errors caused by human intervention, thereby enhancing their competitiveness.
The Pathway to Sustainability in Transdisciplinary System Development
Authors: Beckett Ronald C. , Mo John P.T.
Published: November 2023

In support of a conference theme ’leveraging transdisciplinary engineering in a changing and connected world, this paper examines potential pathways to sustainable development in one system of systems supporting the implementation of United Nations Sustainable Development Goal 6: ‘Ensure availability and sustainable management of water and sewage for all’. We investigate a 20-year journey of an innovative Australian water utility committed to customer and community engagement that also has to embrace an increasingly wide range of technologies to achieve this. The practices established evolved from learning via a myriad of projects and more recent ones employing digital technologies may be viewed collectively as an instance of ‘Water 4.0’. Some projects drew on disciplines founded in the social sciences, some on physical science, computer science and engineering disciplines, and some on a combination. The sustainability pathway evolved in response to external drivers via unique sets of pilot projects followed by further development and deployment. Suggestions for further research are provided.
Fine-grained load balancing with proactive prediction and adaptive rerouting in data center
Authors: Gao Weimin , Zhong Jiaming , Peng Caihong , Li Xinlong , Liao Xiangbai
Published: November 2023

Though the existing load balancing designs successfully make full use of available parallel paths and attain high bisection network bandwidth, they reroute flows regardless of their dissimilar performance requirements. But traffic in modern data center networks exhibits short bursts characteristic, which can easily lead to network congestion. The short flows suffer from the problems of large queuing delay and packet reordering, while the long flows fail to obtain high throughput due to low link utilization and packet reordering. In order to solve these inefficiency, we designed a fine-grained load balancing method (FLB), which uses an active monitoring mechanism to split traffic, and flexibly transfers flowlet to non-congested path, effectively reducing the negative impact of burst flow on network performance. Besides, to avoid packet reordering, FLB leverages the probe packets to estimate the end-to-end delay, thus excluding paths that potentially cause packet reordering. The test results of NS2 simulation show that FLB significantly reduces the average and tail flow completion time of flows by up to 59% and 56% compared to the state-of-the-art multi-path transmission scheme with less computational overhead, as well as increases the throughput of long flow.
Deep convolutional neural networks with Bee Collecting Pollen Algorithm (BCPA)-based landslide data balancing and spatial prediction
Authors: Aruna Jasmine J. , Heltin Genitha C.
Published: November 2023

Predicting the landslide-prone area is critical for various applications, including emergency response, land planning, and disaster mitigation. There needs to be a thorough landslide inventory in current studies and appropriate sampling uncertainty issues. Landslide risk mapping has expanded significantly as machine learning techniques have developed. However, one of the primary issues in Landslide Prediction is data imbalance (DI). This is problematic since it is challenging or expensive to generate an accurate inventory map of landslides based on previous data. This study proposes a novel landslide prediction method using Generative Adversarial Networks (GAN) for generating the synthetic data, Synthetic Minority Oversampling Technique (SMOTE) for overcoming the data imbalance problem, and Bee Collecting Pollen Algorithm (BCPA) for feature extraction. Combining 184 landslides and ten criteria, including topographic wetness index (TWI), aspect, distance from the road, total curvature, sediment transport index (STI), height, slope, stream, lithology, and slope length, a geographical database was produced. The data was generated using GAN, a Deep Convolutional Neural Network (DCNN) technique to populate the dataset. The proposed DCNN-BCPA approach findings were merged with current machine learning methods such as Random Forests (RF), Artificial Neural Networks (ANN), k-Nearest Neighbours (k-NN), Decision Trees (DT), Support Vector Machine (SVM), logistic regression (LR). The model’s accuracy, precision, recall, f-score, and RMSE were measured using the following metrics: 92.675%, 96.298%, 90.536%, 96.637%, and 45.623%. This study suggests that harmonizing landslide data may have a substantial impact on the predictive capabilities of machine learning models.
Navigating the Herd Immunity Surface: A Novel Framework for Optimising Epidemic Response Strategies
Authors: Oliva Gabriele , Bonfigli Sandro , Cavallo Pierpaolo , Scala Antonio
Published: November 2023

BACKGROUND: The typical reaction strategy to an epidemic involves the implementation of various pharmaceutical (e.g., vaccination) and non-pharmaceutical interventions (e.g., social distancing) to reach the so-called "herd immunity threshold," ensuring that new surges of the epidemic dampen out.

AIM: We introduce a novel concept: the "Herd Immunity Surface." Unlike traditional approaches, which focus on a single herd immunity threshold, our framework considers heterogeneous population classes, such as different age cohorts or geographical regions.

METHODS: We demonstrate that multiple herd immunity thresholds can achieve equivalent epidemic-dampening outcomes, even when resulting from different strategies (e.g., uniform vaccination vs. prioritizing the elderly, generalized vs. selective lockdowns, etc.).

RESULTS: This discovery opens the door to policy optimization, where the specific herd immunity threshold chosen becomes a strategic decision with profound economic, logistic, political, and ethical implications. Importantly, it facilitates informed decision-making regarding the selection of vaccination strategies, allowing for versatility in achieving effective epidemic control.

CONCLUSIONS: Our study introduces the concept of the Herd Immunity Surface, offering a novel framework that transcends traditional epidemic response strategies. By highlighting the redundancy in achieving herd immunity, our research provides a foundation for optimizing policy decisions, particularly in the context of vaccination strategies, with far-reaching implications for public health and policymaking.
The Impact of Pak and China Cultural influences on CPEC Energy Project Moderating effect in South Asia: A Case Study from Pakistan
Authors: Siddiqui Mehtab Begum , Khokhar Maryam , Makhdoom Tayyaba Rafique , Hossain Md Billal , Ejaz Sarmad , Ejaz Faisal , Dunay Anna
Published: November 2023

Pakistan is a growing nation working to integrate with foreign business for efficient economic activity. The China Pakistan Economic Corridor is pushing Pakistan's corporate and industrial sectors to accelerate their strategy and developmental implementation processes in order to stay competitive or outperform it. For this reason, China is setting the pace in the business while Pakistan is gradually embracing CSR. This essay aims to investigate the indirect and direct effects of innovation on corporate social responsibility and business performance in Pakistan's manufacturing sector. Three years' worth of panel data were gathered for this. The institutional theory and resource-based theory form the foundation of the theoretical framework. Using the multiple regression technique, the direct and moderating effects were examined. CPEC (China Pakistan economic corridor) is a huge bilateral initiative and developmental project that was started by Pakistan and China, in which the major focus is on the enhancement and modernization of the infrastructure of Pakistan in terms of improving trade with China. Because of CPEC uncountable potential and possible benefits to economic growth and economic development of common people's lives, the China-Pakistan Economic Corridor (CPEC) has become a huge success not just for authorities but also for ordinary Chinese and Pakistani individuals. It is the biggest and major foreign investment in Pakistan ever conducted by a single country. By being such a source of transporting and moving millions of tons of Chinese products to the Middle East, Africa, and Europe through Gwadar port, CPEC has the potential to significantly connect Pakistan and China. Using an event research method and technique, this study adds to the literature by assessing the influence of CPEC on stock returns. We estimate the continuously compounded returns across sectors to see if this impact varies across sectors. Furthermore, this article aims to determine whether or not the effect of CPEC has been penetrated to a fundamental stage. The median equality test is used to analyze the impact of CPEC on non-financial businesses and enterprises listed on the Karachi Stock Exchange's quality of financial reporting. The impact of CPEC on the stock market is found to be favorable and encouraging but not considerable, indicating that the stock market's exceptional performance cannot be ascribed to CPEC. At the national and regional level, the significance and impact of CPEC is also mixed.
The Role of Energy Consumption and Economic Growth on Carbon Emission- Application of Artificial Neural Network
Authors: Sah Hemant Kumar , Sisodia Gyanendra Singh , Ahmed Gouher , Rafiuddin Aqila , Abidi Naseem
Published: November 2023

This paper examines the influence of gross domestic product (GDP) and energy consumption (renewable energy and non-renewable energy) on carbon emissions in European Union (EU) Countries use of panel data from 2000 to 2020.  By using Artificial Neural Network (ANN) machine learning computational technique, variables are categorized into input and output parameters. The result from the analyses shows that RMSE values of all variables are significant. Further, the normalized importance obtained from the multilayer perception ANN algorithm highlights the importance of variables and their association. The finding suggests that EU countries should adopt a clean energy strategy and policy for environmental protection without compromising economic growth.
Study of Environmental Economic Performance According to Energy Use and CO2 Emissions, Air Quality, and Government Policies to Achieve SDGs in Baubau City
Authors: Boni Yohanes , Ariani Wa Ode Rachmasari , Hasddin Hasddin
Published: November 2023

Economic development is required to prioritize aspects of sustainability, namely by not ignoring environmental elements to ensure the benefits of future generations. This study focuses more on presenting development achievement information (in GDP) on ecological performance through energy use, CO2 emissions, air quality, and environmental management by taking the case of medium-scale cities as a differentiator from previous studies. Ecological performance using the standard issued by AGCI. It was found that economic performance was under pressure as indicated by slowing economic growth. Seven sectors make up the GDP structure which is in the process of using energy and producing CO2 emissions. Environmental quality is maintained, and the government's seriousness in creating environmentally sound economic development is demonstrated by the regulations that govern this matter.
An Analysis of Electricity Generation, Supply, and Economic Growth in Selected SADC Countries
Authors: Hlongwane Nyiko Worship , Lenoke Mpho , Daw Olebogeng David
Published: November 2023

The study analysed electricity generation, supply, and economic growth in selected SADC countries. The study utilised panel data spanning from 1990 to 2020 collected from secondary sources such as the World Bank and International Energy Agency. The study conducted unit root tests, cointegration tests, optimal lags length criterion, panel ARDL, Dumitrescu-Hurlin causality and residual diagnostics tests. The results revealed that in the short run, electricity generation and supply are insignificant determinants of economic growth. However, in the long run, electricity generation and supply are significant determinants of economic growth in selected SADC countries. The study recommends restructuring and maintaining electricity generation facilities to boost economic growth in the region.
Trade Openness, Energy Consumption, and Financial Development Influence on Jordan’s Economy: Evidence from ARDL and Non-Granger Causality Test Approach
Authors: Fraihat Baha Aldeen Mohammad , Al-Amarneh Asma’a , Yaseen Hadeel , Samarah Miral R. , Alkhawaldeh Bashar Younis , Buraik Ola
Published: November 2023

The purpose of this study is to analyze the effect of trade openness, energy consumption, and financial development on Jordan's economic development using the Autoregressive Distributed Lag (ARDL) method. By looking at data from 1970 through 2022, the study reveals a short- and long-term impact. Short-term economic development was found to be positively influenced by energy consumption but negatively influenced by trade openness and financial development. However, financial development has a favourable effect on economic development in the long run, whereas trade openness and energy consumption have a negative effect. Furthermore, evidence of a nonlinear bidirectional causal relationship between trade openness and economic development, and evidence of a one-way causal relationship between energy consumption and economic development, were found by the results of Diks and Panchenko's Granger causality test. The development of the economy and the financial sector also demonstrated a reciprocal causal relationship. These findings have important implications for policy and strategic planning for Jordan's economic growth and underscore the need to carefully weigh the potential costs and gains of trade liberalization, financial sector development, and energy consumption.
Hedging Efficiency of Energy Commodities between Indian and American Commodity Exchanges: Constant and Time-Varying Approaches
Authors: Rajesh R. , Nandini A. Satya
Published: November 2023

This research paper investigates the hedging efficiency between spot and future prices of crude oil and natural gas commodities in the energy category of the commodity market. The study focuses on two major commodity exchanges, the Multi Commodity Exchange of India (MCX) and the New York Mercantile Exchange (NYMEX), which serve as the global benchmarking commodity market. Various econometric models have been incorporated to measure constant and time-varying hedging efficiency, we analyze the potential of futures contracts in mitigating price risks in these markets. The results indicate significant and consistent hedge ratios for both crude oil and natural gas in both the MCX and NYMEX markets. Moreover, the MGARCH model, which assesses hedging that varies over time, demonstrates the ability to adjust hedging positions based on market changes. Johansen's co-integration test endorses the presence of enduring connections between spot and future prices in both exchanges. Traders and investors can effectively use futures contracts to mitigate price risks in energy commodity markets, ensuring more dependable financial outcomes amid price fluctuations. Additionally, policymakers can utilize these research findings to promote the adoption of futures contracts, make well-informed choices, manage risks effectively, and enhance the overall efficiency and stability of energy commodity markets.
Green Bonds, Investor Attention and Stock Market Reaction: Evidence from ASEAN Countries
Authors: Aini Andini Nurul , Sukmadilaga Citra , Ghani Erlane K.
Published: November 2023

Green bonds offer investors the opportunity to align their investments with their values and contribute to positive social and environmental impacts. These bonds are a promising tool for channelling investment towards projects that are environmentally friendly and promote the transition to a low-carbon and sustainable economy. Arguably, they play an important role in the fight against climate change and the achievement of sustainable development goals. However, there are not many studies that have examined the impact of green bond issuance on stock market reactions. This study aims to examine the effect of green bond issuance on investor attention and the stock market using route analysis and the SEM-PLS method, either directly or through the inclusion of investor attention as an intervening variable. This study performed content analysis on the annual reports of publicly listed companies in five ASEAN countries over a period of five years. This study demonstrates that investors’ interest in green bonds increases proportionally to their issuance. However, green bond issuance does not significantly influence stock market reactions. In addition, the issuance of green bonds has had no discernible effect on the stock market's response as measured by investor attention. The findings in this study provide some insights on how green bond issuance can influence stock market reactions through investor attention. Investors can use these insights to make future investment decisions, particularly in ASEAN companies.
The Role of Leadership in Managing Change
Authors: Musaigwa Misheck
Published: November 2023

Organisational change is a sophisticated and challenging process. As a result, many organisations that embark on change initiatives fail to achieve their intended goals and sometimes change leads to high costs, which undermine its benefits. However, despite these challenges, it is becoming increasingly important for organisations to embrace change for their survival and success owing to the dynamic and rapidly changing business environment caused mainly by technological advancement. This research aimed to investigate the role of leadership in managing change. The study employed a qualitative approach and drew a sample of 10 participants who are department managers. These candidates perform managerial and leadership responsibilities in the organization understudy. The study employed purposive sampling and thematic analysis to analyse the data. The findings suggested that leadership plays a fundamental role in change management. The leadership roles found include motivating employees, creating a vision for change, communicating change, planning for change, creating a conducive environment for change, getting employees’ buy-in and leading staff by example.
Assessment of Long-Term Surface Water Quality in Mekong River Estuaries Using A Comprehensive Water Pollution Index
Authors:   Graduate University of Science and Technology, Vietnam Academy of Science and Technology, Hanoi, Vietnam, Tran Thai Thanh , Liem Nguyen Duy ,   Faculty of Environment and Natural Resources, Nong Lam University, Ho Chi Minh City, Vietnam, Hieu Ha Hoang ,   Faculty of Environment, School of Technology, Van Lang University, Ho Chi Minh City, Vietnam, Tam Huynh Thanh ,   Center for Natural Resources and Environment Monitoring, Department of Natural Resources and Environment,  Ben Tre Province, Vietnam, Yen Nguyen Thi My ,   Institute of Tropical Biology, Vietnam Academy of Science and Technology, Ho Chi Minh City, Vietnam, Yen Tran Thi Hoang ,   Institute of Tropical Biology, Vietnam Academy of Science and Technology, Ho Chi Minh City, Vietnam, Quang Ngo Xuan ,   Graduate University of Science and Technology, Vietnam Academy of Science and Technology, Hanoi, Vietnam, Luu Pham Thanh ,   Graduate University of Science and Technology, Vietnam Academy of Science and Technology, Hanoi, Vietnam
Published: November 2023

Surface water quality (SWQ) has been degraded in the Mekong River Basin under increasing pressures of population growth, economic development, and global climate change. This study employed the comprehensive water pollution index (CWPI) to assess the spatio-temporal variation of SWQ in the downstream Mekong River estuaries. Eight water quality parameters were measured between 2005 and 2021 at 21 sampling sites downstream of the Mekong River. These parameters included total suspended solids (TSS), biological oxygen demand (BOD5), chemical oxygen demand (COD), ammonia (N-NH4+), nitrate (N-NO3-), phosphate (P-PO43-), iron (Fe), and total coliform. Most of the monitoring locations in the estuaries of Ham Luong, Cua Dai, Ba Lai, and Co Chien exhibited slightly to moderately polluted conditions, as indicated by the CWPI values ranging from 0.67-2.91, 0.41-2.20, 0.27-3.02, and 0.37-2.95, respectively. TSS and Fe concentrations consistently exceeded the allowable limits, while the majority of values for N-NH4+, N-NO3-, P-PO43-, and coliform remained within acceptable thresholds. Additionally, parameters indicative of organic pollution, namely BOD5 and COD, displayed a noticeable upward trend between 2005 and 2021. SWQ exhibited significant spatial and temporal variations with TSS, organic matter, nutrients, and iron being the main areas of concern. These findings can provide guidance to policymakers involved in the assessment and enhancement of water quality in the presence of pollutant compounds that lead to a decline in water quality.
Identifying Credit Card Fraud in Illegal Transactions Using Random Forest and Decision Tree Algorithms
Authors: Werdiningsih Indah , Purwanti Endah , Wira Aditya Gede Rangga , Hidayat Auliya Rakhman , Athallah R. Sulthan Rafi , Sahar Virda Adisty , Wibisono Tio Satrio , Nura Somba Darren Febriand
Published: November 2023

The use of credit cards is increasing in today's digital era. This increase has resulted in many cases of fraud which have had a negative impact on credit card owners. To overcome this, many financial institutions have developed credit card fraud detection systems that can identify suspicious transactions. This study uses a classification method, namely random forest and decision tree to identify illegal transactions using a credit card, which then compares the results and attempts to create a model that can be useful for detecting fraud using a credit card that is more accurate and effective. The result of this study is that the accuracy provided by the Decision Tree Classifier is 0.98, while the accuracy provided by the Random Forest Classification is also 0.975. The conclusion obtained that the decision tree has a higher level of accuracy compared to the Random Forest Classification Algorithm, which is 98%. On the other hand, the Random Forest classification algorithm has a slightly lower level of accuracy compared to the Decision Tree classification algorithm, with an accuracy rate of 97.5%
Macine Learning Approach in Evaluating News Labels Based on Titles: Online Media Case Study
Authors: Yuranda Rezky , Sutabri Tata , Wahyuningsih Delpiah
Published: November 2023

In the current digital era, information availability is abundant, and news serves as a primary source of up-to-date and reliable information for the public. However, with the increasing volume of information, a robust evaluation method is necessary to ensure accurate and dependable news labeling. This research employs a machine learning approach, utilizing three common classification algorithms: Naive Bayes, SVM, and Random Forest, to evaluate news labels based on their titles. The dataset utilized in this study is obtained from Jakarta AI Research and consists of 10,000 samples covering various news topics. Evaluation is conducted using accuracy, precision, recall, and F1-Score metrics to gain a comprehensive understanding of the classification algorithm's performance. The results of this research demonstrate that the SVM algorithm exhibits the best performance, achieving an accuracy rate of 92.92%. Random Forest follows with an accuracy rate of 91.21%, and Naive Bayes with an accuracy rate of 89.61%. These findings provide deep insights into the effectiveness of the machine learning approach in evaluating news labels based on their titles. Furthermore, the study highlights the importance of considering other evaluation metrics such as precision, recall, and F1-Score to obtain a more holistic understanding of the algorithm's performance. Further research is encouraged to involve additional classification algorithms and more diverse and extensive datasets to enhance the comprehension of news label evaluation comprehensively. Such endeavors can significantly contribute to the development of automated systems for classifying news with higher accuracy and reliability in the future
БАЗОВІ ІНСТРУМЕНТИ УПРАВЛІННЯ ЦИФРОВИМ МАРКЕТИНГОМ ТА ЇХ ХАРАКТЕРИСТИКА
Authors: Дячков Д.В. , Плескач О.Ю. , Олійник Т.В.
Published: November 2023

У статті визначено актуальність трансформації маркетингової діяльності та управління нею на основі розвитку цифрового середовища та запровадження техніки й технологій Індустрії 4.0. Розподілено види цифрового маркетингу на ті, що були імплементовані з класичного маркетингу та ті, які виникли в наслідок розвитку цифрового середовища. Окреслено та охарактеризовано базовий набір інструментів цифрового маркетингу, який диференційовано за чотирма напрямами: «розумні» гаджети, Інтернет-комунікації, цифрове телебачення та цифрове радіо. Зважаючи на розглянутий інструментарій цифрового маркетингу, виокремлено окремі тенденції щодо перспектив його розвитку, які проявлятимуться у переформатуванні «розмовного» маркетингу, формуванні «іншого погляду» на використання діалогових стилів цифрового маркетингу, розширення впливу контент-маркетингу, оптимізації реклами в результаті розвитку рекламних платформ, використання нових соціальних мереж, та їх сприйняття потенційними клієнтами та організаціями, а також цілеспрямованому зростанні цифрового маркетингу лідерів думок.
Walkways as an environmental enrichment tool on sandy beaches? A case study with ghost crabs (Crustacea, Ocypodidae)
Authors: Lopes Costa L.
Published: November 2023

Confined to a few favorable patches of habitat within a mosaic of physical drivers, many species disappear from human-disturbed beaches. However, mobile species may change their distribution and select more appropriate habitats as a response to disturbance. Ghost crabs are one of the few beach resident animals capable of moving over considerable distances, but usual habitat homogeneity of urban beaches theoretically prevents them from finding refuge. Here, I tested whether access walkways provide a habitat for ghost crabs on four beaches in southeastern Brazil. I counted and measured burrow opening diameter under walkways and in surrounding transects located at various distances from these structures between June 2020 and May 2021. Mean burrow density was three times higher in transects out of walkways than under the walkways. However, burrows were larger and positioned farther from the waterline under walkways. Walkways thus possibly provide protection for ghost crabs from trampling and vehicle traffic in urban beaches and could therefore be applied as an environmental enrichment tool in the management and conservation of sandy beach biodiversity.
Estudo qualitativo sobre os cuidados paliativos e a relação de cuidado na atenção domiciliar em um município de médio porte
Authors: Negrão Stefan Wolanski , Garbelini Maria Cecília Da Lozzo , Campos João José Batista , Bellani William Augusto Gomes Oliveira , Almeida Marcio José
Published: November 2023

No Brasil, ainda há poucos estudos sobre quais são os cuidados paliativos e como eles são desenvolvidos na atenção domiciliar. O objetivo desta pesquisa foi compreender a relação de cuidado entre os pacientes, os familiares e os profissionais de saúde do Programa Melhor em Casa, envolvidos com os cuidados paliativos, em um município paranaense. Foi uma pesquisa descritiva exploratória, de abordagem qualitativa, com entrevistas semiestruturadas. Identificou-se que a relação entre profissionais de saúde, pacientes e familiares acontece com sentimentos de carinho, respeito e gratidão, destacando-se a importância da humanização exercida pela equipe. Entraves para a prática dos cuidados paliativos relacionam-se com a capacitação profissional e a pouca sistematização do serviço de atenção domiciliar. Considerou-se que, apesar das melhorias ocorridas desde a implantação do serviço de atenção domiciliar e da prática dos cuidados paliativos, essa temática precisa ser mais bem explorada para a efetivação dessas modalidades como integrantes do Sistema de Saúde.
Determination of the cost of production of vainilla (Vanilla planifolia Jacks ex Andrews) in the municipality of Huehuetla, Puebla
Authors: Rodríguez-López C. , Almeraya-Quintero S. X. , Guajardo-Hernández L. G. , Borja-Bravo M. , Pérez-Hernández L. M.
Published: November 2023

Objetive: To identify the production costs of vanilla, as a primary link in the value chain, to determine the profitability of the crop in the municipality of Huehuetla, Puebla.
Design/methodology/approach: The information was obtained from the application of 40 surveys to producers in nine communities in the municipality of Huehuetla, Puebla, using the methodology of financial evaluation of long-term agricultural projects.
Results: The results of the diagnosis show that it is a highly profitable crop, indicating an average production cost 0.1 ha-1 of $ 54,471.90 and the average total sale price 0.1 ha-1 of $ 187,500.00, which results in a high profitability (R B/C=2.54), even in conditions of small cultivation areas, in addition to the fact that producers combine it with other perennial and annual species that generate short and medium term income for family sustenance.
 
Limitations on study/implications: Vanilla producers are located in a region with marginalized characteristics due to its geographic location, which makes access to communication difficult, and they lack a government agency to represent them; therefore, information on production costs and prices is limited and dispersed.
Findings/conclusions: Vanilla is a crop with great productive potential in the Totonacapan region, and especially in the municipality of Huehuetla, as it is a crop with high commercial value, it is a highly profitable alternative for producers, for all these benefits among other advantages of the crop, it is recommended to strongly support programs that promote its expansion, support in the development of strategies and technologies for the improvement of cultivation techniques that are reflected in higher yields, better quality and ensure a marketing that benefits the producers of these vanilla-growing areas of the northeastern region of the state of Puebla and the surrounding area, so that regional development is stimulated through potentially profitable crops such as vanilla.
Women in the labor market and economic growth in Mexico
Authors: Figueroa Hernàndez Esther , Pérez-Soto F. , Pérez-Figueroa R. A.
Published: November 2023

Objective: the objective of this study was to analyze the participation of women in the labor market and the effect on economic growth in Mexico, 2000-2021.
Design/ Methodology/ Approach: three multiple linear regression models were developed using the Ordinary Least Squares method.
Results: the most statistically significant variables were the exchange rate, wage and the employed female population. The most significant elasticities were found at an increase of 10.0% of the employed female population, the GDP would increase by 7.83%. For the model where only the employed female population was analized, at an increase of 10% in it, the GDP would increase by 10.01%.
Study limitations/ Implications: the main limitation was that the information is not available from a single source and the figures vary depending on the official institution.
Findings/ Conclusions: based on the results obtained, it is concluded that the participation of women in the labor market does increase economic growth.
ПОЕТИКА МАГІЧНОГО РЕАЛІЗМУ В СУЧАСНІЙ УКРАЇНСЬКІЙ ДРАМАТУРГІЇ
Authors: Бортнік Жанна Іванівна
Published: November 2023

Метою статті є спроба схарактеризувати поетику магічного реалізму в сучасній українській драматургії в контексті лімінальної концепції. У сучасній літературі сформувалася нова генерація драматургів, щодо творчості яких є потреба залучити термінологію лімінальності, аби усвідомити сутність процесів, які відбуваються з сучасною драмою. Методи. Дослідження базується на працях науковців у царині вивчення лімінальності, герменевтичний та міфопоетичний методи уможливили аналіз драматургічних творів як єдиної смислової цілісності усіх складників у контексті функціонування в лімінальній фазі, крізь призму жанрової матриці ритуалів переходу. Результати. Розглянувши сучасну українську драматургію, яка проходить лімінальний етап (за термінологією А. ван Геннепа і В. Тернера), було визначено, що сучасна драма втілює поетику магічного реалізму, щоб реалізувати ідею деконструкції міфологічної свідомості (художньо увиразнює в містичному колективні уявлення про міф та архетип, сформовані в сучасному дискурсі, створює іронічну дистанцію, руйнує смислові нашарування, реконструює міф через особистісну інтерпретацію); стає ефективною стратегією деколонізації – особистісної та національної; залучає міфологічне як містичне для пошуків власної ідентичності; передбачає критику образів, на яких базується традиція та сформувався кіч; магічне формує спосіб висловлення для тих, кого не чути в суспільстві – прихованих системою як маргіналів; увиразнює закони-стереотипи системи в образах містичних світів; втілює лімінальний принцип рівності; уможливлює переосмислення національного наративу, нав’язаного колонізатором; шукає відповіді в історичному минулому, повертаючи історію магічним переміщенням поміж світами; демонструє образ лімінара, трікстера; актуалізує міфи та архетипи як елементи колективної пам’яті українця, що формують образ спільного, притлумленого колонізатором історичного досвіду помсти, допомагає художньо маркувати образи свого/чужого. Висновки. Концепція лімінальності є дієвою стратегією в літературознавчих дослідженнях, яка уможливила дослідження специфічних стратегій сучасної української драми в контексті поетики магічного реалізму.
РОМАНТИЗМ В ІНТОНАЦІЙНІЙ РЕПРЕЗЕНТАЦІЇ: РИТМОМЕЛОДИКА ВОЛОДИМИРА САМІЙЛЕНКА
Authors: Левчук Тереза Петрівна
Published: November 2023

У статті порушено проблему стильової ідентифікації поезії В. Самійленка. Незважаючи на чималу кількість досліджень його поетики, питання індивідуального стилю митця в диспозиції до стилів епохи залишилася на рівні декларативних тверджень про рух до модернізму. Дослідницька гіпотеза – розглянути проблему приналежності В. Самійленка до романтизму і (частково) неоромантизму через ритмомелодику віршів. Мета розвідки – показати вплив романтичного світогляду і відповідного типу творчості В. Самійленка на ритмомелодику його поезії; головне завдання – простежити риси неоромантизму в поетиці. Методи дослідження – віршознавчий і жанрово-стильовий аналіз. Результати. Критерій віршувальної техніки не завжди беруть до уваги у дослідженнях стилю. Тим часом саме віршування і його ритміко-тональні та риторичні засоби творять інтонаційний малюнок поетичної творчості й відображають її емоційну складову. Етапи розвитку національного віршування суголосні розвиткові методів і стилів. Для романтизму характерний розвиток класичного віршування із залученням народного мелосу, натомість для доби модернізму властивий рух у протилежному напрямку – до зміни канону, опанування некласичного віршування. Поети кінця ХІХ – початку ХХ ст. часто свій шлях до модернізму прокладали через експерименти з віршуванням. Але для більшості митців цього періоду визначальною є орієнтація на силабо-тоніку в поєднанні з народним мелосом, оскільки саме така поетична форма найбільш відповідна романтичному світовідчуттю. Висновки. Простежені у статті особливості віршувальної техніки В. Самійленка та ритмомелодики його поезій загалом показують, що занурення митця в народно-пісенну стихію є цілком романтичним. Навіть у творах іронічно-сатиричного спрямування поет зберігає інтонацію піднесеної емоційності. Фольклорна пісенність, що домінує, не дає змоги шукати ритми, в яких голос поета переважить більш потужну й універсальну народну мелодику.