bluuebunny/crossref_metadata_2025 huggingface dataset:
Predicting Ad Click-Through Rates in Digital Marketing with Support Vector Machines
Authors:   Rajamangala University of Technology Thanyaburi, Thailand, Sangsawang Thosporn
Published: December 2024

This study investigates the effectiveness of Support Vector Machines (SVM) in predicting click-through rates (CTR) in digital marketing campaigns. Utilizing a dataset comprising user demographic and behavioral data, the research aims to develop a predictive model to forecast ad clicks accurately. The primary objectives include conducting exploratory data analysis (EDA), preprocessing data, training the SVM model, and evaluating its performance using standard metrics. The dataset includes features such as Daily Time Spent on Site, Age, Area Income, Daily Internet Usage, and Gender. Key findings from the EDA reveal that "Daily Time Spent on Site" and "Daily Internet Usage" are significant predictors of CTR, with notable correlations. The SVM model, trained on this data, demonstrated exceptional performance, achieving an accuracy of 97.65%, a precision of 98.58%, a recall of 96.53%, and an F1-score of 97.54%. These results confirm the model's robustness and reliability, indicating its potential for optimizing digital marketing strategies. The study's significance lies in its contribution to the fields of digital marketing and predictive analytics by showcasing the applicability and advantages of SVM in predicting user behavior. These insights can help marketers optimize ad placements, enhance user engagement, and improve return on investment. Practical implications include strategies for targeted and personalized marketing based on key user demographics and behaviors. Despite the promising results, the study acknowledges limitations such as the dataset size and scope of features. Future research should focus on utilizing larger and more diverse datasets, incorporating additional features, and exploring other advanced machine learning algorithms. This research encourages further exploration of machine learning applications in digital marketing to enhance predictive accuracy and campaign effectiveness. By addressing these aspects, this study aims to advance the academic understanding and practical implementation of predictive analytics in digital marketing, providing a robust framework for future applications.
Analyzing the Determinants of User Satisfaction and Continuous Usage Intention for Digital Banking Platform in Indonesia: A Structural Equation Modeling Approach
Authors:   Department of Computer Science, School of Physics, Engineering and Computer Science, University of Hertfordshire, Hatfield AL10 9AB, Pratama Satrya Fajri
Published: December 2024

This study investigates the factors influencing user satisfaction (US) and continuous usage intention (UI) of the digital banking platform in Indonesia. Utilizing a quantitative research approach, structural equation modeling (SEM) via SmartPLS was employed to analyze data from 376 users. The study integrates key constructs, including Task-Technology Fit (TTF), System Quality (SQ), Performance Expectancy (PE), US, and UI, into a comprehensive model. The findings confirm that TTF, SQ, PE, and US significantly influence UI. Specifically, higher TTF and SQ directly enhance PE (path coefficient = 0.871, t-value = 92.895) and US (path coefficient = 0.798, t-value = 47.957), positively impacting UI. Performance Expectancy emerged as a stronger predictor of UI (path coefficient = 0.559, t-value = 12.800) compared to the US (path coefficient = 0.245, t-value = 5.229), underscoring the critical role of perceived performance benefits in driving continuous usage. All five hypotheses were supported: TTF positively affects UI (path coefficient = 0.250, t-value = 7.154); SQ positively influences PE and US; PE positively impacts UI; and US positively affects UI. The Sobel test results indicated that PE significantly mediates the relationship between SQ and UI (Z = 12.60), and US also significantly mediates this (Z = 5.19). The R-squared values indicate the explanatory power of the model: PE (0.758), UI (0.956), and US (0.637), demonstrating that the model explains a substantial portion of the variance in these constructs. The study contributes to the literature by validating the integrated model, extending existing models such as the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT), and highlighting the importance of technical and perceptual factors in technology adoption. Practically, the results offer actionable insights for digital banking providers. Enhancing TTF and maintaining high SQ are crucial for fostering positive user experiences and encouraging continuous usage. Providers should also emphasize the performance benefits of their platforms to improve PE and UI. Despite its contributions, the study has limitations, including sample size and reliance on self-reported data, which may affect generalizability. Future research could expand the sample size, incorporate objective usage data, and explore additional factors such as social influence and facilitating conditions. Overall, the study provides a robust framework for understanding user behavior in digital banking and offers practical strategies for improving user satisfaction and retention in the industry.
Trade Openness and Total Sector Productivity in Zimbabwe: Empirical Analysis Using ARDL and Granger Casuality Approach
Authors: Nyathi Lawrence Dumisani , Nkala Mthulisi , Mlobane Mbheki
Published: December 2024

This study explores the relationship between trade openness and total sector productivity in Zimbabwe using the ARDL and Granger Casuality Approach covering the period 1990 to 2023. The bulk of economic literature do point out that trade openness is a potent catalyst for national development and productivity. Economic literature further provide evidence of the short- and long-term connections between trade openness and economic growth. Given that most nations now desire to generate wealth through international commerce and transfer technology, this study tackles significant issues about the relationship between trade openness and total sectorial productivity.

The research findings indicate that trade openness and total sectoral productivity had a positive long-term association. The research also revealed that total sectoral productively is significantly related to inflation, exchange rate, unemployment and labour rate. Therefore, this paper recommends that policy makers and government negotiators in Zimbabwe should put policies that promote openness through the removal of trade barriers and export encouragement into effect in order to increase overall economic growth. In conclusion, some of the trade barriers that are deterring trade openness and productivity are solved if government of Zimbabwe implements a vibrant economy to boost productivity.
Current Trends in Horse Stall Design for Equine Housing: A Case Study of Commercial Centers in Peninsular Malaysia
Authors: Darmansah Nur Fadilah , Baddiri Azilah , Misnan Mohd Saidin , Ahmad Astor Ahmad Azeem
Published: December 2024

Horse stall design plays a vital role for every horse owner and equine center. In early planning stage, it is crucial to decide the factors that may affect the design of the horse stall as poor construction stall which reduces horse performance. Hence, it raises number of injury cases and lower the horses confident. The objective this study is to investigate the current design component of commercial equine center. The chosen five (5) commercial equine centers are well-known equine center with criteria including active operating livery services and frequent conducting equestrian competition. Data collection using the checklist in observation to six (6) main component which are dimension, door, ventilation and lighting, partition, interior (watering and feeding) flooring, and drainage. The results of study shown that the stall dimension typically used in commercial equine centers is 12 x 12 ft in stall size, 7 ft in wall height, and 15 ft in ceiling height. Galvanized iron material for door, approximately 5 ft and 6 ft door width, 4 ft door height, placing the door on the left of the horse stall with door hinges and bolt were used. The air circulation fan and natural ventilation as well as electric light fixtures and natural lighting from outside. Combination of brick or concrete with metal for partition material for stall at height of 7ft or 8 ft. Heavy-duty yellow plastic for water and feed were used and placed front side of stall. The flooring are used concrete with cement along with rubber matt for absorption. Overall, the current stall design trends for equine housing in commercial centers in Peninsular Malaysia prioritize enhancing the well-being and performance of horses. The key characteristics of these trends involve roomy and well-ventilated stalls, high-quality construction materials, and features that enhance natural light and airflow. Moreover, there is an increasing focus on ergonomic design features intended to improve horse comfort and minimize the likelihood of damage. These patterns highlight the changing comprehension and emphasis on equine welfare among facility managers and owners in Malaysia’s equine industry.
Challenges Faced by Students from Rural Schools in Sri Lanka who Enroll for Foreign Tertiary Education: A Teacher’s Perspective
Authors: Bishri Rizna
Published: December 2024

This article explores the multifaceted challenges encountered by students from rural schools in Sri Lanka when they enroll in foreign tertiary education institutions, with hopes of transferring to affiliated universities in countries like Australia, New Zealand, Canada, the UK, and the USA. Drawing on 24 years of experience in higher education at two foreign universities in Sri Lanka, and extensive teaching experience at the primary and secondary levels, this article provides an in-depth analysis of the socio-economic, cultural, and educational hurdles these students face. The article incorporates educational theories to offer insights and recommendations for educators, policymakers, and support systems to better assist these students in their academic and personal transitions.
Examining the Death Penalty in Indonesia using the Dignified Justice Theory
Authors: Mulyana Yully Tjangklek
Published: December 2024

The death penalty or capital punishment is still recognized and remains in effect within Indonesia’s legal system. Although it was widely known during the Dutch colonial period and lately has been abolished in the Netherlands, Indonesia continues to retain it. Evidence of the death penalty’s legacy from the Dutch can be found in Indonesia’s 1946 Criminal Code Act. This study was conducted to provide a scientific description and explanation of the existence of the death penalty in Indonesia. Theoretical framework used in this research is the Indonesian legal theory known as the Dignified Justice theory. The basic premise of the theory is that the law serves as a meeting point between Divine thought and human thought, grounded in Pancasila, to uphold human dignity. Thus, the legislation governing the death penalty, as a derivative of Pancasila, is viewed as a manifestation of the derivative of the meeting point (Pancasila), aimed at making human being humane (nguwongke uwong). Guided by the Dignified Justice theory and employing normative legal research methods, the research has found that certain human rights, such as the right to life can indeed be restricted within Indonesia’s Pancasila-based legal system, which allows for the death penalty. However, the death penalty has been softened under the newly enacted Indonesian National Criminal Code. This mitigation is achieved by making the death penalty a conditional punishment. Furthermore, for some time now, under Indonesia’s human rights legislation, the death penalty can no longer be applied to children.
The Role of Electricity Transmission and a Stable Grid in Kenya’s Energy Transition
Authors: Siocha Clifford , Mutinda Winfred
Published: December 2024

The transition to renewable energy sources is crucial for Kenya’s sustainable development, yet the effectiveness of this transition hinges on the robustness of the nation’s electricity transmission and grid stability. This paper explores the critical role that a reliable electricity transmission infrastructure plays in facilitating Kenya’s energy transition, emphasizing the need for a stable grid to support the integration of renewable energy technologies. The paper examines current transmission networks, identifying key challenges such as grid reliability, transmission losses, and infrastructural bottlenecks. It evaluates the potential of renewable energy resources like solar, wind, and geothermal, and their integration into the national grid. Furthermore, the paper assesses existing initiatives aimed at upgrading transmission infrastructure and enhancing grid stability, including smart grid technologies and cross-border interconnections. Technological innovations, such as energy storage systems and advanced grid management software, are analyzed for their potential to mitigate intermittency issues associated with renewable energy sources. The study also explores the socio-economic impacts of a stable grid, focusing on improved energy access, economic growth, and job creation in urban and rural areas. Case studies from successful implementations within Kenya and other comparable regions provide insights into best practices and effective strategies for strengthening grid infrastructure. The paper discusses the policy frameworks and regulatory measures necessary to support these advancements, offering strategic recommendations to policymakers and stakeholders. In conclusion, this paper presents a comprehensive roadmap for enhancing electricity transmission and grid stability in Kenya, aligning with the country’s Vision 2030 and global climate commitments. By addressing the infrastructural and technological challenges, Kenya can achieve a more resilient and efficient energy system, crucial for its sustainable energy transition.
Indonesia’s Income Tax Arrangements for Over the Top Services
Authors: Cahyadini Amelia , Atmaja Budi Arta , Nurzaman R. Adi
Published: December 2024

This article discusses the effect of administration of tax arrangements on Over the Top (OTT) services in Indonesia. As is known, OTT as a giant company has a big influence on national and transnational economic growth. Industries in various countries cannot be separated from the important role of OTT. Until now, OTT is still an interesting issue to be discussed in Indonesia because the regulation is still very limited so that OTT cannot be taxed. The method used in this article is a qualitative approach that refers to legal norms, especially Law Number 2 of 2020. The results of this study indicted that current Indonesian regulations are still unable to reach OTT businesses. Currently, the existing provisions only cover electronic trading providers and electronic trading activities. In the future, the Government of Indonesia needs to prepare a concept of income tax regulation that can reach OTT tax subjects so as to be able to provide a fair business climate.
The Ethnobotanical Elements in Traditional Malay Medical Knowledge: A Review
Authors: Ramya Razanah , Othman Rashidi , Mohd Hatta Farah Ayuni , Hanisah Wan Sulaiman Wan Syibrah , Mohd Latiff Nur Hanie
Published: December 2024

Herbal resources, including both wild and cultivated plants used for agricultural purposes, are abundant in the Malay region. As a result, the traditional medicinal knowledge of the Malay world is rich in ethnobotany, which is a part of ethnoscience. This research aimed to identify the types of indigenous medicinal plants mentioned in Malay medical manuscripts by comparing them with the results of previous studies. We obtained every piece of published information for this analysis from the online bibliographical databases Google Scholar and Scopus. A comprehensive analysis of the published literature revealed that twelve publications discussed various forms of illness treatments and different kinds of plants. A variety of Malay medical manuscripts yielded these discoveries. According to the findings, two of the papers discussed a single medicinal plant, three of the articles discussed Malay medicinal texts, and six of the articles concentrated on a single ailment. The gathered information claimed the effectiveness of around 131 medicinal plants in treating a variety of disorders, including stomach pains, eye problems, women’s illnesses, fever, and other conditions. People use palms, herbs, shrubs, and trees as therapeutic plants. The research also presents and addresses Malay medical philosophy and diagnosis therapy. In general, the study highlights the wealth of Malay ethnobotanical knowledge, the profound cultural value of this information, and the need to maintain and investigate these ancient practices for the benefit of future generations. On top of that, this study highlights the critical need to maintain and advance investigations into Malay ethnobotany, which is essential for promoting sustainable health practices and conserving biodiversity. This aligns with Sustainable Development Goals concerning health, life on land, and the preservation of cultural heritage.
Evaluating the Nigeria Civil Service as Agent of National Development
Authors: Ogbenjuwa Emmanuel I.
Published: December 2024

This study surveys the importance of the Nigeria civil service in promoting national development in Nigeria. The study adopts survey design as it the most appropriate to evaluate social variables. Data were gathered by sampling participants who were randomly drawn from the population of interest using the Yamani statistics. A 5 point Likert scale was used to craft the survey instrument. Reliability of the instrument was ensured by the use of the Guttmann Index Scaling with reported reliability of 90% factor loading; internal consistency coefficient yielded .83 and a factor analysis. Regression statistics was deployed to test the hypothesis, yielding a statistically significant relationship between the Nigerian civil service and national development. The study elucidates the relevant information needed to understand the significant roles the civil service is plays in engendering national development in Nigeria and factors militating against the civil service through both primary and secondary means and data collected were analyzed and a conclusion on the established research questions and hypotheses.
Prioritizing and Re-orienting Vocational Education for Sustainable Development in Nigeria
Authors: Winny Anakwuba Blessing , Ezenekwe Uju Regina
Published: December 2024

In Nigeria, the potential of vocational education as a catalyst for sustainable development remains largely untapped, despite its significant role in addressing unemployment, poverty, and skill gaps in the labor market. This paper examines the need to prioritize and re-orient vocational education to align with the demands of sustainable development. It explores how an integrated vocational education system can equip individuals with relevant, hands-on skills that contribute to economic growth, environmental responsibility, and social equity. Drawing on case studies and policy analyses, the study underscores the need for strategic partnerships between government, private sector, and educational institutions to reform curriculum, improve facilities, and enhance teacher training. Key recommendations include incorporating green skills training, fostering entrepreneurship, and promoting inclusivity, particularly for marginalized communities. By realigning vocational education with sustainable development goals, Nigeria can create a workforce capable of driving long-term economic resilience and environmental stewardship, ultimately contributing to a more equitable and sustainable society.
Immunogenic properties of the Chlamydia Vnitibp-21 strain
Authors: Kruglova M.I. , Matveeva I.N. , Bogomolova O.A. , Fedorov Yu.N. , Vasiliev S.A.
Published: December 2024

Chlamydia is a separate group of bacteria adapted to intracellular parasitism, characterized by distribution among a wide range of hosts and a variety of clinical manifestations. Chlamydia abortus promotes colonization of placental trophoblasts and is one of the causes of abortions and fetal loss in sheep, goats and cattle. Experimental studies have shown the high immunogenic activity of the C. abortus Chlamydia VNITIBP-21 strain (protective activity-98.5-99.5%), which makes it possible to consider it as a candidate for the design of effective means of preventing chlamydia infections in animals.
Improving the control of specific activity of vaccines against erysipelas
Authors: Kuzmenko M.A. , Tsaturyan L.H. , Sklyarov O.D.
Published: December 2024

In the article presents the results of the analysis of methods for assessing the specific activity of live and inactivated vaccines against erysipelas, as well as proposals for improving the control of the immunogenic activity of vaccines against erysipelas in experiments on target and laboratory animals. A universal method for determining the specific activity of inactivated vaccines against swine erysipelas has been proposed for practical use.
Reserves of feed protein in the processing of secondary products of the alcohol industry
Authors: Volkova G.S. , Kuksova E.V. , Kryuchkova E.R. , Sokolova E.N. , Serba E.M.
Published: December 2024

New types of raw materials can be used for obtaining new types of feed additives, such as grain-fruit bard obtained by joint processing of wheat and blackcurrant cake in the ratio of 1:3. When the bard was digested by the consortium of L. plantarum 314/8 and L. casei subsp. rhamnosus L-2 for 24 hours at 370C after centrifugation, biomass with crude protein content of 42.6% was obtained, which can be the basis of a protein feed additive. At the same time it is shown that addition of cottonseed meal in the amount of 5% to grain-fruit bard during fermentation does not lead to an increase in protein content and is inexpedient.
Studying the stability of the feed additive Hepatoprotect
Authors: Aleev D.V. , Galyautdinova G.G. , Matrosova L.E. , Mishina N.N. , Korchemkin A.A. , Erokhondina M.A.
Published: December 2024

The most important criterion for the quality of feed additives is the stability of their indicators. The creation of optimal storage conditions, compliance with the norms and rules of their application contributes to increased efficiency in their use. The purpose of our work was to study the stability of the feed additive Hepatoprotect. Testing of a feed additive for compliance with the requirements of technical specifications 10.91.10-002-00492374-2023 it was carried out at the beginning and after the expiration of the shelf life according to generally accepted methods. As a result of the conducted research, it was found that during 1 year of storage, the additive meets the requirements of technical specifications in terms of physico-chemical properties. If the storage conditions are met, the stability of the declared quality indicators is maintained.
Physiological state, productivity and quality of bull meat when feeding sapropel
Authors: Radchikov V.F. , Kot A.N. , Glinkova A.M. , Besarab G.V. , Simonenko E.P.
Published: December 2024

The use of 6% and 8% by weight of sapropels in the feed of calves in fattening has a positive effect on the physiological state of animals, allows you to save up to 8% of grain and get high-quality beef.
Optimized decision science approach for accurate detection of rice plant diseases
Authors: Kashyap S. Sreenath , Unhelkar Bhuvan , Shankar S. Siva , Chakrabarti Tulika , Chakrabarti Prasun , Sivaneasan B. , Margala Martin
Published: December 2024

Rice cultivation is an integral part of India’s changing landscape of agriculture. It offers an ALO-based Random Forest Classifier for accurate disease diagnosis and sorting in rice plants, including brown spot, bacterial leaf blight, and leaf smut. It begins with gathering the dataset from Kaggle and then continues the step of image pre-processing to upgrade its quality. Feature extraction extracts statistical features based on GLCM, whereas the segmentation applies the Otsu threshold approach. The optimized RFC is done using ALO for better precision. High accuracy rates and lower computation times are ensured and validated compared with alternatives, affirming that such a framework in rice plant disease detection and classification works well.
Validation of deursen’s internet of things skills (IoTs) : Indian gen Z assessment
Authors: Kadyan Sunil , Bhasin Narinder Kumar , Bathla Srishti , Chahal Shagun , Purohit Tanushri
Published: December 2024

The Internet of things and respective skilling is a matter of extensive research. The individuals possessing such skills have paramount advantage over the ones not possessing such skills. Especially in Indian technological landscape, the digital skills and digital inclusion tendencies are gradually transforming yet have not developed to the fullest. The youth foresee immense potential in learning and unlearning the IoT skills and characteristics. The study hence based on validation assessment of Deursen’s Internet of things skills (IoTs) across Indian generation Z will provide insights into the mechanics and dynamics of perceptions with regard to skill-based prowess. The study leverages two types of skills- related to strategic IoT and operations & data analysis in order to ascertain the skill-based dexterity of the youth. The study relies on CFA and SEM modelling to ascertain the impact. The results and findings of the study will give an important insight into their current IoTs skills, areas where they need to improve or wider impacts on education, policy and industry in India. The findings of the study confirm that there are important differences between women and men in terms of their level of education, as well as among students with different levels of knowledge. The results have shown that, as regards shaping the employability discourse, there is support for Internet of Things skills and differences in them. These findings can help stakeholders better prepare the younger generation for the IoT-driven future.
Ensuring efficient health care delivery : Addressing uncertainties through mixed-constraints fractional transportation
Authors: Joshi Vishwas Deep , Agarwal Priya , Alsaud Huda
Published: December 2024

Healthcare requires efficient delivery of supplies, but things often change unexpectedly. In the field of healthcare logistics, transportation efficiency plays a fateful role in ensuring the timely delivery of medical supplies, equipment, and personnel. However, the dynamic nature of the healthcare environment brings complexities, such as unexpected changes in demand, transportation disruptions, and differing priorities. This research highlights a novel approach to address these challenges through an innovative model designed for uncertain multi-objective fractional transportation problems with mixed constraints (UMOFTPMC), which aims to address the complexities of healthcare logistics and resource allocation has to be optimized. By integrating uncertain parameters and multiple objectives – such as minimizing transportation costs, maximizing service quality, and ensuring timely delivery– the proposed model provides a comprehensive approach to healthcare transportation management. Through a series of computational experiments and case studies, the efficacy of the mixed-constraint UMOFTPMC model in healthcare logistics is demonstrated by providing robust, efficient, and adaptable transportation solutions according to the unique demands and uncertainties underlying healthcare systems and exhibiting its ability to bring revolution. Using advanced computational methods and analyzing real-world scenarios, the study elucidates the complexities of healthcare transportation and proposes strategies to increase efficiency, adaptability, and flexibility in healthcare supply chain operations.
Ensemble learning based predictive modelling on a highly imbalanced multiclass data
Authors: Vasti Manka , Dev Amita
Published: December 2024

Class imbalance in the real-world datasets is a big challenge and the domains such as fraud detection, calamity occurrences, bankruptcy prediction etc. are prone to class imbalance due to the nature of occurrences of the events. In this paper, the detailed research using six ensemble machine learning techniques is applied to the undersampled, oversampled and the original dataset and the results are compared. The results of the research study indicates that amongst the applied six ensemble learners, the best learner is Random Forest algorithm (with entropy gain) implemented using ten-fold cross validation on the SMOTE oversampled dataset. 0.95 AUC and 0.8689 accuracy i.e. an increase of 4% in accuracy and substantial increase in other performance indicators is observed as compared to the remaining five ensemble classifiers.
Design of optimization-based machine learning model with AI for effective breast cancer detection system
Authors: Ampavathi Anusha , Sivaneasan B. , Shankar Siva , Chakrabarti Tulika , Chakrabarti Prasun , Margala Martin
Published: December 2024

Accurate and prompt diagnosis is crucial for early detection and recovery from breast cancer. Many women die from breast cancer because current methods fail to detect it early. To address this challenge, we designed an Artificial Intelligence-based Random Forest (AI-RF) model optimized with Sail Fish Optimization (SFO). Using MRI breast cancer datasets from Kaggle, the system preprocesses data with median filtering and extracts features using the Grey Level Coherence Matrix (GLCM) method. The SFO fitness is updated in the RF model to improve prediction accuracy of breast cancer stages (benign and malignant). The developed model aims to enhance detection accuracy and reduce false rates. Experimental results show the model achieves 99.13% accuracy, 99.33% sensitivity, and 98.85% precision, outperforming existing techniques.
Deep convolutional neural network based Henry gas solubility optimization for disease prediction in data from wireless sensor network
Authors: Bhuyan Hemanta Kumar , Unhelkar Bhuvan , Shankar S. Siva , Chakrabarti Prasun
Published: December 2024

In the fight against COVID-19, this study explores clinical image processing and deep learning for effective solutions. Emphasizing collaboration between scientists and policymakers, it addresses data reliability issues and sparse experimentation, critical for accurate COVID-19 identification and mitigation of underreported cases. The proposed Henry Gas Solubility (HGS) optimized Deep Convolutional Neural Network (DCNN) enhances prediction accuracy and computational efficiency, validated through rigorous experiments. The study highlights the importance of integrating diverse datasets and outlines future research directions, highlighting its potential impact on healthcare decision-making and pandemic response strategies.
Machine learning-based network intrusion detection : Performance evaluation and comparative analysis
Authors: Kumari Barkha , Singh Vinay , Kumar Mohit
Published: December 2024

Intrusion detection systems are used to investigate malicious behavior that takes place within a system or network. Programming or equipment utilized for interruption identification scans a framework or organization for dubious exercises. The rising interconnectedness of PCs has made interruption discovery crucial for network security. Internet of Things (IoT) gadgets with their organization administrations are frequently helpless against assaults since they are not intended for security. This is designated by malevolent clients to take advantage of weaknesses or impede numerous weakness assaults. Thusly, manage this weakness; an interruption discovery framework that includes AI methods is required. Interruption Recognition Framework (IRF) is designated to get interruption in a correspondence framework by taking a gander at the IDS types and techniques. To bring down misleading problems and raise discovery rates, interruption location precision should be gotten to the next level. In ongoing works, numerous techniques have been utilized to upgrade the presentation. An interruption location framework’s essential assignment is to examine a lot of organization traffic information. To tackle this issue, a very much organized characterization framework is required. This issue is moved toward in the recommended way. Support Vector Machine (SVM) and Naive Bayes AI calculations are utilized. These techniques are many times used to address arrangement issues. An evaluation of the interruption recognition framework is directed utilizing the NSL-KDD information revelation dataset. The outcomes show that SVM_ outflanks Gullible Bayes. Successful arrangement strategies like Help Vector Machine and Credulous Bayes are utilized in relative examination, and their precision and misclassification rate are figured.
A hybrid fine-tuned optimizer for enhancing ECG data security in heart attack detection systems
Authors: Kiran Ajmeera , Unhelkar Bhuvan , Shankar S. Siva , Chakrabarti Tulika , Chakrabarti Prasun , Sivaneasan B. , Margala Martin
Published: December 2024

Accurate analysis of ECG data is necessary for effective heart attack detection. The InRes-106 model, a hybrid fine-tuned optimizer that improves ECG data security and detection, is presented in this study. It blends deep learning models like ResNet50 and InceptionV3 with sophisticated image processing techniques like artifact removal and Histogram Equalization (HE). The study assesses five pre-trained models: VGG19, DenseNet201, MobileNetV2, and ResNet50 after pre-processing ECG images to enhance quality and remove artifacts before putting out the innovative InRes-106 model. With a remarkable 98.34% accuracy, this model establishes a new standard for heart attack detection and demonstrates improvements in cardiac care.
TÉCNICA STOP MOTION DE ANIMAÇÃO E A FORMAÇÃO INICIAL DE PROFESSORES A LUZ DA TEORIA DA APRENDIZAGEM SIGNIFICATIVA CRÍTICA
Authors: Luiz Crissiane Loyse , Bittencourt Stange Carlos Eduardo
Published: December 2024

A proposta deste trabalho é apresentar a construção de um produto educacional, resultado da aplicação de um Curso de Extensão denominado:“Técnica Stop Motion de animação e a formação inicial de professores de biologia” com carga horária de 40h, junto a acadêmicos do curso de Ciências Biológicas da Universidade Estadual do Centro Oeste do Paraná. O curso propiciou noções sobre a Teoria da Aprendizagem Significativa Crítica, exercícios para a aquisição e desenvolvimento de habilidades específicas para o uso da técnica de animação Stop Motion. Para averiguar indícios de aprendizagem sobre os conceitos do curso, foram aplicados pré e pós-teste além de questionários ao final de cada módulo. A análise de dados a partir do pré e pós-teste ocorreu através da Proposta de um Modelo Estrutural descritivo de testes que demonstrou em todas as questões propostas resultados de uma evolução conceitual positiva, depreendendo-se desta forma, indícios de aprendizagem e assimilação conceitual.
Developing the Preventing Model of Transnational Crimes in Russia and Indonesia in the Age of Sanctions and Global Economic Instability
Authors: Galang Windi Pratama Toebagus , Puzikov Ruslan , Lantsov Sergey , Ponkratov Vadim , Khomenko Ekaterina , Vatutina Larisa , Pessoa Gustavo Henrique Rodrigues
Published: December 2024

This study identifies and compares primary transnational crimes in Russia and Indonesia by investigating solutions tailored to each country's challenges. Using a qualitative comparative approach, we conducted expert interviews with 30 professionals from law enforcement, judiciary, and academia across both countries. This study reveals novel insights into the distinct patterns of transnational crime: Russia primarily faces cybercrime, economic offenses, and money laundering, while Indonesia grapples with human trafficking, environmental crimes, and maritime piracy. These findings contribute to a new understanding of geopolitical variations in transnational criminal activities. Additionally, the study emphasizes the importance of adapting to global instability and sanctions and proposes a preventive "Legal, Economic, Technological" model to address these challenges. This research also uncovers previously unexplored challenges in cross-border cooperation and the adaptation of legal frameworks to evolving criminal tactics. In particular, the model addresses gaps in current strategies by incorporating a more comprehensive and holistic approach to prevent transnational crimes, with a focus on diagnosis and strategic planning. Additionally, this study proposes directions for developing a preventive “Legal, Economic, Technological” model and preventing transnational crimes, including diagnosis and strategic planning. The study results are expected to support the understanding of gaps in current strategies and simultaneously reinforce the utilization of a holistic approach in the fight against complex transnational criminal activities in a global context.
A Review of the Role of Network Segmentation in Improving Cybersecurity and Preventing Data Breaches
Authors: Adarsh S Naik  , Aishwarya  , Akash Goud  , Amulya NM
Published: December 2024

One critical aspect of Cybersecurity strategies is that of network segmentation, which demarcates a network into segments and controls the traffic flow, thus limiting cyber threats. Network segmentation may be an especially important part of an operational technology environment for companies facing catastrophic repercussions from breaches. It boosts security, performance, and management and also achieves regulatory compliance. But then again, problems might pop up during its implementation, more so in legacy OT environments with limited resources. Despite such drawbacks, segmentation is an essential tool for the OT network engineer. It provides a better defense in cyber efforts and continuity of critical operations
Teaching Anne Finch in "Partisanship in Restoration and Eighteenth-Century Britain"
Authors: Wilson Jennifer
Published: December 2024

The works of Anne Finch, a writer doubly exiled as a female poet and Jacobite, stand out as eminently teachable examples of a compelling political outsider view that provokes us to consider how we can better attend to perspectives of principled opposition. Her poems in response to what has been called the "first modern revolution," together with her odes upon the deaths of King James II and Queen Mary Beatrice, showcase the subversive power of indirect articulation, expressing values through emotions and affects in veiled forms such as allegory and alternate history.
Feminine Interiority and Social Protest in the Poetry of Mary Leapor
Authors: Yates Joanna C
Published: December 2024

Mary Leapor (1722-46) is one of the many under-studied women poets of the eighteenth-century. She is often described as a laboring-class poet which, while historically accurate, implies her immediate marginalization as an writer by her class and gender. Her focus of enquiry explores a new female authorial interiority, embracing her own volition, personality, and aesthetic sensibility through the act of writing itself. This nascent individualism, arising from the examination of feeling, lies at the heart of her work and heralds the social protest that will erupt later in the century. This paper hopes to offer a broader perspective on Leapor’s work through close readings of a selection of her poems and analysis of the ideas this precocious, self-educated woman was exploring in her work.
Teaching Anne Finch’s Satire in the British Literature Survey Classroom
Authors: Hiner Amanda
Published: December 2024

This article argues for the intentional inclusion of Anne Finch’s diverse and compelling satires in the undergraduate British literature survey course and for the recognition of Finch as an accomplished theorist and practitioner of satire. The article includes practical strategies for pairing Finch’s satires with other well-known and anthologized satires; examines her satires in the context of the Revolution of 1688; and provides an analysis of her innovative rhetorical strategies, including her efforts to dissociate herself from satire while simultaneously producing sharp and defiant satires. The article argues that cultivating a deeper understanding of Finch’s contributions to eighteenth-century satire enriches a British literature survey course by highlighting women’s contributions to the eighteenth-century practice of satire and by helping students recognize Finch’s extraordinary depth and breadth as a poet and satirist.
Abortion in the Fiction of Laclos, Rousseau, Isabelle de Charrière, Montesquieu
Authors: Woodward Servanne
Published: December 2024

Eighteenth-century French fiction containing episodes on abortion are influenced by the seventeenth-century scandal of La Voisin, and by the 1731 legal suit involving the Jesuit Priest Père Girard and Catherine Cadière. Two observations may be derived from eighteenth-century French novels: women's abortions are monitored, instigated, and decided by fathers, husbands and lovers, who select for them, if they are to remain celibate, and whose children they bear. And as well, abortion tests or reveals the limits of a woman’s individual freedom and right to care for herself.
Review of Sister Novelists, by Devoney Looser
Authors: Binhammer Katherine
Published: December 2024

Review of Sister Novelists by Devoney Looser.
Is Tenure Enough?: Reproductive Healthcare and Academic Precarity
Authors: Vandenbossche Lisa
Published: December 2024

This piece focuses on insurance and parental leave. While it feels like we know in the abstract that insurance and leave policies are important concerns for faculty members, and employees across all industries, conversations about them by and large taken place in informal settings – through mentorship or personal conversations between friends. In reconstructing these informal information networks, this article seeks to make visible ways that leave policies impact career decisions by women academics. We need to start seeing employee benefits as a reflection of institutional values, to ask about them when considering employment, and to have these conversations with graduate students – both male and female. Focusing solely on tenure as the epitome of academic career stability, makes it easier to overlook (and forgive) gendered precarity within these hierarchies, allowing institutions to resist implementing systemic policies that are vital to faculty equity.
Care and Pregnancy Loss
Authors: Phillips Chelsea
Published: December 2024

In the wake of the Dobbs decision, new legislation across the U.S. has created ambiguity around the access to and legality of interventions for pregnancy loss in certain states. This essay situates our current legal landscape in opposition to that of the eighteenth-century, where care and preservation of the pregnant person were a guiding priority.
Introduction: Concise Collection on Teaching the Works of Anne Finch, Part One
Authors: Keith Jennifer
Published: December 2024

This essay introduces Part One of the two-part “Concise Collection on Teaching the Works of Anne Finch," guest edited by Jennifer Keith (Aphra Behn Online, vol. 13, no. 2, 2023). The second part of this collection is scheduled for Spring 2024.
Behn and the “Epitaph On the Tombstone of a Child”
Authors: O'Donnell Mary Ann
Published: December 2024

Aphra Behn’s poems usually celebrate some form of pastoral life or love, so much so that her “Epitaph on the Tombstone of a Child” seems anomalous in her 1685 Miscellany. The same poem (with two lines crossed out) appears in Cambridge University Library MS Add. 8460, Elizabeth Lyttelton’s Commonplace Book, where it is titled simply “Epitaph on William Fairfax.” The twelve lines also appear on one other material witness: the tomb marker for young William Fairfax, who was Elizabeth Lyttelton’s nephew and Sir Thomas Browne’s grandson. This article examines the poem itself, discusses the deleted lines, considers connections that might have led Behn to compose such a piece, and suggests what this might reveal about Behn, the family of young William Fairfax, and the transmission of Behn’s poems.
Review of On the Digital Humanities: Essays and Provocations, by Stephen Ramsay
Authors: Lyons-McFarland Michelle
Published: December 2024

A review of On the Digital Humanities: Essays and Provocations by Stephen Ramsay.
Concise Collections: Teaching Margaret Cavendish, Part I
Authors: Spencer E Mariah
Published: December 2024

This is the introduction of Part I of the "Concise Collection on Teaching the Works of Margaret Cavendish."
Review of A History of African American Autobiography, edited by Joycelyn K. Moody
Authors: Buckner Sarah
Published: December 2024

A review of A History of African American Autobiography edited by Joycelyn K. Moody.
Markant verkauft mehr Eigenmarken
Authors: Biehl Bernd , Stockburger Manfred
Published: December 2024

Die Markant-Gruppe erwartet im kommenden Jahr ein leichtes Wachstum im Verrechnungsumsatz, der zuletzt bei rund 68 Mrd. Euro lag. Ein Grund ist die gute Performance der Drogeriemärkte.
Ceconomy reißt das Ruder herum
Authors: Brändlein Philip
Published: December 2024

Die Mediamarkt-Saturn-Mutter Ceconomy hat den operativen Turnaround geschafft. Im kommenden Jahr soll so viel erwirtschaftet werden, dass Dividenden ausgeschüttet werden. Die Kosten für die Finanzierung aber belasten die Bilanz.
Discounter rationieren die Butter im Aktionsgeschäft
Authors: Schulz Hans-Jürgen , Lattmann Christian
Published: December 2024

Mit ungewöhnlich günstigen Aktionspreisen für Butter versucht der Lebensmittelhandel die Frequenz anzukurbeln. Angesichts knapper Warenbestände limitieren einige Händler die Abgabemenge.
Essity will gegen Trend wachsen
Authors: Ingelmann Anja
Published: December 2024

Um ihre Margen zu verbessern, investieren Hygienepapier-Hersteller derzeit in das Markengeschäft. Essity will seine Marktposition in Deutschland ausbauen. Konzernweit verliert das Tissue-Geschäft jedoch an Bedeutung.
Heidemark holt Andres Ruff
Authors: Lenders Dirk
Published: December 2024

Der führende deutsche Putenvermarkter Heidemark verstärkt seine Geschäftsführung mit Andres Ruff. Gesellschafter Christopher Kalvelage wechselt aus dem operativen Geschäft an die Spitze des Beirats.
Neue Dynamik bei Frischli
Authors: Lenders Dirk
Published: December 2024

Der Eröffnung einer Haferdrinkproduktion in Rehburg folgen weitere Schritte, mit denen die Frischli Milchwerke für moderates Wachstum sorgen wollen. Veränderungen gibt es sowohl bei der Führung des Unternehmens, als auch im Sortiment für Food-Service und Einzelhandel.
Bedrohte Vielfalt
Authors: Mende Jan
Published: December 2024

Sparsame Kunden und steigende Kosten erhöhen im Jahr 2024 den Druck auf den Handel. Besonders gravierend sind die Folgen im Mittelstand. Der Lebensmittelhändler Tegut gerät ins Trudeln, die Nonfood-Spezialisten Depot und Kodi kämpfen ums Überleben. Jan Mende
Schrumpfen bis zum Gehtnichtmehr
Authors: Murmann Christoph
Published: December 2024

Die anhaltende Inflation hat viele Eckpreise unhaltbar gemacht. Wer nicht an der Qualität sparen will, verkleinert häufig die Menge pro Packung. Anlass für eine nicht ganz ernst gemeinte Extrapolation der Entwicklung bei Edelschinken.
Ampel im Rückspiegel
Authors: Bender Hanno
Published: December 2024

Viele Gesetzesvorhaben bleiben durch das abrupte Ende der Regierungskoalition auf der Strecke. Das muss nicht immer zum Schaden der Wirtschaft sein, führt aber in Sachen Lieferkettengesetz und Berichterstattung zu Rechtsunsicherheit. Hanno Bender
Schwarz baut Mega-Rechenzentrum in Lübbenau
Authors: Stockburger Manfred
Published: December 2024

Die Cloud-Pläne der Schwarz-Gruppe werden real: Im brandenburgischen Lübbenau errichtet der Händler direkt neben dem Kaufland-Lager ein Rechenzentrum.
SAP baut Tausende Stellen ab
Authors: Giuri Maurizio
Published: December 2024

SAP stellt sich für die Zukunft auf. Durch ein Restrukturierungsprogramm sollen weltweit 9000 bis 10000 Stellen wegfallen. Nun ist klar, wie viele Mitarbeiter beim Software-Riesen in Deutschland gehen müssen.