bluuebunny/crossref_metadata_2025 huggingface dataset:
Inland water transportation attributes and marketing performance of micro-businesses
Authors: Anyadighibe Joseph A. , Bessong Peter Kekung , Ogar-Abang John Oyong , Kankpang Alphonsus Kechi , Nkiri Joseph Enyam , Inah Egu Usang , Etim Iwara Okoi , Nwobodo Christiana Chukwu
Published: January 2025

The study explored inland water transportation attributes (cost, safety, security, multiple taxation, and climate change) and marketing performance of micro agricultural businesses in Cross River State. Cross-sectional survey research design and structured questionnaire were used for the study. The population of the study was micro agricultural businesses and 160 owners of micro agricultural businesses constituted the sample size. Multiple linear regression analysis was used to test the hypotheses of the study. The findings revealed that transportation cost, safety, security and climate change had significant positive effects on the marketing performance of micro agricultural businesses, while multiple taxation was significantly negative. Therefore, the study recommended that regulators of inland water transportation channels should make transportation fares more affordable, provide more safety accessories, security architecture in the waterways to be consistently reviewed and improved in order to guard against and eliminate potential threats, multiple and disproportional tax rates levied on micro agricultural businesses should be made fairer and more closely proportional to the volume of merchandise they carry in order to shore up the performance of these businesses.
Demographic Factors and Personal Income Tax Compliance in South-West States, Nigeria: Empirical Analysis
Authors: Augustine Adekoya A.
Published: January 2025

Personal Income Tax (PIT) compliance is a critical issue to state governments and tax authorities because of the high rate of its non-compliance among individual taxpayers. This non-compliance attitude adversely affects the state sustainable development and economic performance. Many researches have been conducted on taxpayers’ compliance, but not many considered the influence of Demographic Factors (DF) on PIT Compliance Behaviour (CB) at the state level. This study examined the probable influence of DF on PIT CB in selected state in South-West, Nigeria. The study adopts survey research design and random sampling techniques. Six hundred copies of questionnaire were distributed, and this achieved 84.3% response rate. Descriptive and inferential statistics were adopted to analyze data at 5% significance level. The study shows that DF positively influenced PIT CB among individual taxpayers in the study states (AdjR2=0.033, F(4, 506)=5.342; P=0.000). There was evidence that employment status has significant relationships with individual PIT CB in the study states (ESβ= -0.314 t= -2.925, p=0.004). Hence, gender, age and educational level do not have significant relationships with individual PIT CB in the study states (GENβ=0.121, t=1.608, p=0.108, AGEβ=0.018, t=0.500, p=0.617, ELβ=0.089, t=1.758, p=0.079). The study concluded that demographic factors have significant influence on individual PIT CB in the study states. The study recommend that state governments should boost tax education, introduce taxpayment process and sound tax administration that will minimize demographic disparity and PIT non-compliance. Also, transparency and accountability should be exhibited on tax revenues to increase PIT compliance from the informal sector.
Digital Marketing in the Promotion of Tourism in Bahía de Caráquez
Authors: Davila Iranian Standard See , Zambrano Lilia Moncerrate Villacis
Published: January 2025

The main objective of this research was to analyze the impact of digital marketing for the promotion and development of tourism in Bahía de Caráquez, the importance of the object of study lies in understanding and taking advantage of the tourist potential of the city, Bahía de Caráquez has a cultural heritage and rich natural that deserves to be promoted effectively, the methods used in the research were quantitative and qualitative, the type of research was descriptive and allowed us to obtain a detailed understanding of the digital marketing that is being used in Bahía de Caráquez, the target population of study. were the inhabitants and visitors of Bahía de Caráquez, the technique used was the survey, with a sample of 80 people through random sampling, the instrument used to measure reliability was SPSS v. 25, resulting in reliability through Cronbach's alpha of 0.987, the instrument being reliable, it is concluded that digital marketing is revealed as an indispensable tool to promote tourism in Bahía de Caráquez, the results obtained demonstrate that applying digital strategies well designed can significantly increase the visibility of the destination and attract more tourists, so it is important to adapt marketing practices to new trends, and in this way position Bahía de Caráquez as an attractive destination in the Ecuadorian tourism panorama.
A Comprehensive Model for Measuring Customer Satisfaction of E-Banking Services in Bangladesh
Authors: Bashir Md Abdul , Morshed Md. Golam , Shafiulla Md. Adam , Sarkar Pijush Kumar , Ferdous Nahida
Published: January 2025

The provision of financial services via electronic delivery systems is commonly referred to as electronic banking (e-banking). From the very beginning, e-banking has played an important role in the economic development of many countries and has made a significant contribution to customer satisfaction. The aim of this study is to propose a comprehensive model for measuring customer satisfaction with e-banking services in Bangladesh. The study is based on selected peer-reviewed articles from 9 bibliographic databases. The results show that customer satisfaction is influenced by service quality, customer experience and customer satisfaction. The study concludes that it is a comprehensive model for measuring customer satisfaction with e-banking services in Bangladesh.
Effect of Fleet Vehicle Tracking on Operational Performance of Road Transporters in Mombasa County
Authors: Kinyua Nancy N. , Arani Wickliffe , Egessa Mathew M.
Published: January 2025

This study examines the effect of vehicle tracking on the operational performance of road transporters in Mombasa County. Effective fleet management, and specifically vehicle tracking, is essential for optimizing resources, reducing costs, and improving efficiency in transportation operations. Guided by the Technology Diffusion Theory, the study employs a descriptive research design and targets 250 registered road transport companies in Mombasa County, selecting a sample of 154 participants through stratified random sampling. Data were collected using structured questionnaires and analysed with descriptive and regression techniques. The findings indicate that vehicle tracking significantly enhances operational performance, evidenced by a positive unstandardized coefficient of 0.459 and a p-value of 0.000. Key practices, including speed monitoring, route management, and real-time vehicle dispatch tracking, were identified as crucial contributors to this improved performance. The study concludes that vehicle tracking systems foster accountability, decrease fuel consumption, and boost overall productivity. Recommendations include the implementation of advanced GPS tracking technology, regular maintenance of tracking systems, and comprehensive staff training to maximize the benefits of vehicle tracking for operational efficiency. This research enhances the understanding of how technology can be utilized to tackle challenges in fleet management, particularly in developing regions.
Sustainable Agricultural Innovation in Uzbekistan Through the Helix Models
Authors: Chen Xiuli , Ryoo Joohan
Published: January 2025

Uzbekistan is a double-landlocked country with an economy heavily reliant on agriculture, arguably one factor impeding the country’s development. One possible remedy to the agricultural transformation is the Helix Innovation Ecosystem. This research investigates how the pillars of the helix- academia, industry, government, civil society, and environmentalists- can be the catalysts that arise from the groans of collaboration while strategizing theories such as international relations and political case studies. The Green Industrial Revolution will allow Uzbekistan to compete favorably, be market-oriented, and maximize its comparative advantages in agriculture: renewable resources, eco-industrial parks, and energy-efficient greenhouses. Besides building institutional fittings and bridges, improving the interaction among the helix actors will facilitate climate funds in the agricultural sector. In addition, funds from the carbon market will enable socio-economic resiliency. As library-based and secondary data research, the article further acknowledges that these eluding aspects can only be comprehended through field studies that can be compared to other landlocked countries. Finally, this paper argues that balancing the interaction between the various elements of the Helix model will enable Uzbekistan to have a sustainable economic environment and focus more on innovations in the agricultural sector. It can also serve as a guide for other low-income countries with similar development problems.
Examination on translation universals and evaluation through corpora
Authors: Yuemeng Xu
Published: January 2025

This article explores the profound impact of corpora on Translation Studies, particularly in uncovering translation universals and enhancing evaluation methods. Corpora, which are collections of authentic language data, serve as an objective foundation for translational research. The article delves into four key universal characteristics of translated texts: simplification, explicitation, normalization, and leveling out. Simplification refers to the tendency of translated texts to use less complex language, explicitation involves spelling out implicit information, normalization emphasizes conformity to target language patterns, and leveling out suggests a convergence towards typical target language features. Through corpus-based approaches, the objectivity of translation evaluation is significantly improved, as they provide concrete criteria for assessing translation quality, thereby addressing the subjectivity inherent in the field. The article emphasizes the enrichment that corpora have brought to Descriptive Translation Studies and highlights their potential to foster more objective evaluation and teaching methods. Looking towards the future, the integration of corpora in translation studies promises continued interdisciplinary advancements, propelling innovation in translation research and education.
Analysis of the Influence of Digital Marketing Content on Customer Satisfaction at PT Godongijo Asri
Authors: Tua Manalu Doni Sahat , Wicaksono Aditya , Nurlaili Ulil Azmi , Suharno Suharno , Sari Melani Permata , Bunda Asti Permata , Kamila Farhana Talida
Published: January 2025

This research aims to analyze the influence of digital marketing content on customer satisfaction at PT Godongijo Asri, a tourist destination consisting of ecotainment education, restaurants and fishing lake. By involving 100 respondents, this research used the SWOT analysis method and Importance Performance Analysis (IPA) to evaluate the quality of digital marketing content and its impact on customer perception and satisfaction. The research results show that interesting and informative content can increase customer satisfaction. In addition, the company's internal analysis shows that PT Godongijo Asri is in Region I (Grow and Build) in the IE Matrix, which recommends growth and development strategies. Priority strategies include using brand awareness to create engaging content and diversifying content across various digital platforms. Even though many attributes are considered good, there are several aspects that need to be improved, such as clarity of information and website loading speed. In conclusion, digital marketing content has a significant influence on customer satisfaction, and companies are advised to continue to improve the quality of content and carry out regular updates to attract more customers.
The Effect of Marketing Capability and Brand Reputation on Brand Loyalty of Tomoro Coffee through Competitive Advantage as a Meditation Variable
Authors: Viando Feterrido Wahyu , Paramitha Intan Tirzana , Mujanah Siti , Fianto Achmad Yanu Alif
Published: January 2025

The purpose of this research is to analyze the influence of marketing capabilities and brand reputation on competitive advantage and brand loyalty among Tomoro Coffee customers in Surabaya. This study employs a quantitative research design using a cross-sectional method. The sample used in this research consisted of 100 respondents who are Tomoro Coffee customers residing in Surabaya. Sampling was conducted randomly through an online questionnaire using a Likert scale. Data analysis was carried out using the Structural Equation Modeling ( SEM ) approach with the Partial Least Squares ( PLS ) methodology. The results of this research indicate that marketing capability and brand reputation have a positive and significant effect on competitive advantage. Competitive advantage, in turn, has a positive and significant effect on brand loyalty. Marketing capability has a negative and insignificant effect on brand loyalty, whereas brand reputation exerts a positive and significant effect on brand loyalty. Furthermore, brand reputation has a significant influence on brand loyalty through competitive advantage as a mediating variable, while marketing capability demonstrates an insignificant effect on brand loyalty through competitive advantage as a mediating variable. The implications of this research suggest that Starbucks and other business actors can enhance their performance measurement systems related to marketing capability, brand reputation, competitive advantage, and brand loyalty. These improvements are essential for maintaining and strengthening their competitive position in the market.
Keywords : Marketing Capability, Brand Reputation, Competitive Advantage, Brand Loyalty, Tomoro Coffee
Enhanced Cation Exchange Capacity and Exchangeable Bases in Sandy Soil Across Sudanian Savanna Agro-Ecosystem of Bondoukuy, Western Burkina Faso
Authors: Yoni Moïse , Senou Issaka , Nacro Hassan B.
Published: January 2025

The Cation Exchange Capacity (CEC) of soil represents its capacity to retain and exchange nutrient cations with plant roots. In Sudanian savannas, sandy soils are characterized by a dominance of coarse particles, which exhibit a low specific surface area and low cation retention capacity, in contrast to clayey soils. A low CEC restricts soil fertility and the capacity of the soil to sustainably provide essential nutrients to plants. It was hypothesized that the CEC of the topsoil in savannas of western Burkina Faso would demonstrate a significant increase due to substantial environmental changes during the fallow period. To test this hypothesis, a comparison was made between soil fertility in savannas and fallows, and that of cultivated plots, which were considered the control for this increase. A total of 15 plots were selected, with five plots allocated to each situation. The vegetation and soil of the plots were described in detail. Composite soil samples were taken from the 0-20 cm horizon. The soil analyses in the laboratory were conducted on several parameters, including texture, pH-H2O, pH-KCl, carbon, nitrogen, CEC and exchangeable bases. The results of the observations enabled the classification of the soils as tropical ferruginous soils with iron and manganese sesquioxides. The original materials indicate that the soil exhibits sandy properties. This was demonstrated by the granulometric study, which revealed that the soils under investigation exhibited an essentially sandy texture on the surface horizon. This results in a low retention capacity for exchangeable bases. The woody vegetation of the savannas exhibits a greater diversity of flora than that of the fallows. This has a significant impact on the enhancement of the CEC, due to the replenishment of the soil with plant debris of varying organic compositions. The overall pH is slightly acidic, with a range of 5.63 to 5.71. The soils of the savannas exhibit higher concentrations of carbon and nitrogen than those of the fallows and fields. The observation of chemical balances has enabled the identification of savannas as an environment conducive to optimal plant nutrition. Overall, the savannas enhance the CEC and exchangeable bases, despite the values being below the threshold recommended for tropical sandy soils. It is therefore necessary to implement measures to promote sustainable agriculture and enhance agricultural productivity in this region, where soil nutrients are naturally scarce.
Persistence and Pervasiveness of Tax Evasion: An Evolutionary Analytical Framework
Authors: Silveira Jaylson Jair da , Lima Gilberto Tadeu , Torres Leonardo Barros
Published: January 2025

There is considerable evidence that heterogeneity in tax compliance behavior is persistent and pervasive. This paper develops an evolutionary analytical framework in which taxpayers periodically choose between to comply or not to comply with their tax obligations. Aggregate demand formation arising from private and public expenditures depends on the frequency distribution of tax compliance behavior across taxpayers, so that the macrodynamic of the rates of capacity utilization and output growth is coevolutionarily coupled to the microdynamic of tax compliance across individuals. The analytical framework set forth here replicates several pieces of empirical evidence on tax evasion. First, the proportion of non-complying taxpayers (and hence the volume of tax evasion) depends on the tax rate and the expected cost of tax evasion. Second, heterogeneity in tax compliance behavior across taxpayers is evolutionarily persistent instead of temporary. Third, the immediate impact of a change in the proportion of tax evading individuals on the rates of capacity utilization and output growth is non-linear. Fourth, the proportion of non-complying taxpayers and the rates of capacity utilization and output growth vary positively with the tax rate in the evolutionary equilibrium.
Analisis Peran Kader Kesehatan terhadap Upaya Pencegahan Stunting di Kabupaten Kediri
Authors: Nurcahyanti Febrina Dwi
Published: January 2025

Ketidakoptimalnya perkembangan otak dan terhambatnya pertumbuhan pertumbuhan mental maupun motorik merupakan salah satu dampak dari stunting, bukan hanya itu stunting juga dapat meningkatkan resiko terjadinya angka kesakitan maupun kematian bagi balita, oleh sebab itu maka kejadian stunting sangat perlu untuk dicegah, sehingga diperlukan peran pihak yang bisa rutin untuk mendampingi dan mengingatkan ibu balita untuk tindakan pencegah terjadinya stunting, maka dari itu peran seorang kader sangat diperlukan karena kader merupakan pihak pertama yang bersinggungan langsung dengan masyarakat khususnya ibu balita, Tujuan dari penelitian ini adalah untuk mengetahui bagaimana peran seorang kader kesehatan terhadap upaya pencegahan stunting pada balitanya. penelitian ini merupakan jenis penelitian kuantitatif dengan desain survei analitik dan pendekatan cross sectional. Pengambilan sampel menggunakan teknik purposive sampling dengan google form sebagai instrumennya dan analisis dilakukan dengan uji chi square. Sampel dalam penelitian ini adalah kader kesehatan yang khusus menangani balita yang bekerja di wilayah kerja PKM Kabupaten Kediri sebanyak 114 orang, Dari hasil penelitian didapatkan hasil bahwa pendidikan, motivasi, pengetahuan, fasilitas yang dimiliki kader berperan penting terhadap upaya kader kesehatan untuk melakukan pencegahan stunting sedangkan pelatihan tidak berpengariuh terhadap upaya pencegahan stunting.
COMPARISON OF EARLY NEEDLE-KNIFE SPHINCTEROTOMY VS STANDARD BILIARY CANNULATION IN PREVENTING ERCP ASSOCIATED PANCREATITIS IN CASES OF DIFFICULT BILIARY CANNULATION -A TERTIARY CARE EXPERIENCE
Authors: Muhammad Bilal Khattak  , Ehtisham Haider  , Muhammad Hafeez  , Khawar Shabir  , Rafiudin  , Khan Hafizullah
Published: January 2025

Background: Post-ERCP pancreatitis (PEP) has been shown to increase by difficult biliary cannulation during ERCP. Increasingly used as an alternative to standard biliary cannulation to prevent this complication in difficult access cases is early needle-knife sphincterotomy (NKS). Objectives: To evaluate the efficacy of early needle knife sphincterotomy vs standard biliary cannulation in preventing post-ERCP pancreatitis in patients who have difficult biliary cannulation. Study design: a retrospective study. Place and duration of study: Department of Gastroenterology and Hepatology, Pak Emirates Military Hospital from January 2022 to December 2022. Methods: 100 patients who have difficult biliary cannulation in their ERCP were included. Patients were randomized, based on the attending endoscopist, to early NKS or standard biliary cannulation methods. The rate of PEP, procedure time and cannulation success rates were compared between the two groups. Results: It involved 100 patients with an average age of 50.3 years (±13.5) PEP occurred in 8% of the NKS group vs. 15% in the standard group (P=0.04). NKS group: significantly less time in procedure (mean 30 minutes) than the standard group (mean 45 minutes) (p=0.01). Conclusion: Early needle knife sphincterotomy, decreases risk of post-ERCP pancreatitis and procedure time compared to standard biliary cannulation. Thus, NKS represents a novel technique for early salvage of difficult cannulations.
COMPARISON OF EFFICACY AND SAFETY OF RANOLAZINE AND IVABRADINE IN CHRONIC ISCHEMIC HEART DISEASE PATIENTS
Authors: Ahsan Waqas Khan Niazi  , Ahsan Nisar  , Syed Naveed Pirzada  , Naveed Yaqoob  , Muhammad Naeem  , Hafsa Shahid Malik  , Muhammad Faisal Bacha
Published: January 2025

Background:  Ischemic heart disease (IHD) frequently produces persistent angina that may significantly impair quality of life despite standard treatment. There is need for effective adjunctive therapies to manage refractory angina. Ranolazine and Ivabradine are two potential options that have shown efficacy in alleviating angina symptoms and improving quality of life in IHD patients. Methods: Ethical clearance was obtained from hospital ethical committee before initiation of study. Those patients fulfilling study inclusion criteria were enrolled. Written informed consent was obtained from all the patients. This randomized clinical trial enrolled patients from the Department of Cardiology, PIMS Hospital, Islamabad. The information regarding demographic and baseline patient characteristics were recorded. Patients were randomly assigned into two groups by lottery method. Treatment group (group A) was Ranolazine 500 mg tablets twice daily for 8 weeks plus standard treatment while the Placebo group (group B) was Ivabradine 5 mg tablets twice daily for 8 weeks plus standard treatment.  The primary outcome of study was improvement in angina as assessed by SAQ. Other outcomes like hemodynamic stability (heart rate and Blood pressure) and associated side effects were also recorded at 2, 4, 6, and 8 weeks after the start of treatment in both the study groups. The collected data was analyzed by using SPSS 23 version. Results: The mean age of patients in Group A was 64.59±5.47 years and in Group B were 65.41±5.95 years. In Group A 36(78.3%) patients were male and 10(21.7%) patients were female and in Group B 38(82.6%) patients were male and 8(17.4%) patients were female. The baseline score of SAQ in Group A and Group B was as (41.93±4.23 vs 43.24±4.44) and at 8 week as (90.98±3.12 vs 81.48±2.52). Ranolazine had better clinical outcome than Ivabradine for the treatment of persistent angina in patients with chronic stable ischemic heart disease in terms of SAQ score, systolic & diastolic blood pressure and safety profile. Conclusion: This study concluded that Ranolazine in comparison to Ivabradine has better clinical outcomes in terms of efficacy & safety in patients with chronic IHD who had persistent symptoms.
Defining Crime Prevention: A Study of Swedish Police Officers
Authors: Lind Mia
Published: January 2025

Defining Crime Prevention: A Study of Swedish Police Officers

Crime prevention is strongly promoted in many countries’ police organizations. However, lack of a clear, agreed definition of the concept could impede its effective implementation. This study addresses associated problems by exploring 15 Swedish police officers’ understanding and definitions of crime-preventive work to characterize their translation of the official definition of crime prevention into operational practice. It was found that the participants had highly heterogeneous understanding and translation of crime prevention but broadly recognized that it consisted of preventing the occurrence, continuation and/or repetition of crime. They also recognized four key types of activities: collaboration, fostering constructive community relations, increasing risks of crime detection and deterrence and cause analysis. The results highlight needs for more coherent definitions of crime prevention and associated strategies to avoid the diversity of interpretations hindering the implementation, evaluation and improvement of crime prevention efforts.
A Stacked Generalization Ensemble Method for Rate of Penetration Prediction
Authors: Erasmo Augusto Bezerra Silva  , Antonio Paulo Amancio Ferro  , Francisco de Assis Viana Binas Júnior  , Lucas Pereira de Gouveia  , Aline da Silva Ramos Barboza
Published: January 2025

Efforts to reduce drilling costs and duration have made accurate predictive models for rate of penetration (ROP) essential in the drilling industry. These models assist decision-making concerning parameters that affect drill efficiency. Utilizing advanced machine learning algorithms, such as ensemble methods and artificial neural networks, has become a clear trend aimed at enhancing predictive precision. In this study, a stacked generalization ensemble model is introduced to improve ROP prediction performance. The adopted approach combines four base learners, namely random forest, gradient boosting, linear regression, and artificial neural networks, into a meta-model architecture. The resulting meta-data from these models are used to make the final ROP prediction using a linear regression algorithm. Drilling data from two wells in the Volve oil field are used for training, including various operational and formation-related parameters, such as average surface torque, weight on bit, average rotary speed, mud flow rate, and delta-T compressional. The performance of the model is evaluated on an unseen well, using error metrics such as mean absolute error (MAE) and mean absolute percentage error (MAPE). The proposed approach has demonstrated superior performance compared to the base learners, as indicated by the comparative analysis. This suggests its potential to enable more accurate predictions, consequently improving the efficiency of the drilling process.
Deepfake detection using Eulerian video magnification and Deep Learning
Authors: Gideão Pelegrino de Abreu  , Jefferson Oliveira Andrade  , Karin Satie Komati
Published: January 2025

The Internet witnesses millions of video views every minute in the contemporary landscape of extensive data proliferation and ubiquitous social media use. In this context, the burgeoning advancements in deepfake technologies introduce security and privacy concerns. These technologies facilitate manipulating video and audio content to an extent where someone can seamlessly replace one persons visage with anothers, or entirely synthetic videos can be crafted using real individuals voices and appearances, potentially deceiving viewers. Consequently, the malicious exploitation of deepfakes has caused apprehension due to its potential adverse societal repercussions, including, but not limited to, harm infliction, extortion, and reputational jeopardy. This study seeks, within the realm of deepfake detection, to evaluate the efficacy of Eulerian video magnification (EVM), a technique that accentuates subtle cues and motions, typically imperceptible to the naked eye. To this end, we propose the use of hybrid architectures comprising Convolutional Neural Networks (CNN) and Vision Transformers (ViT) with magnification techniques. Subsets of the FakeAVCeleb dataset, including authentic and manipulated videos, will train, validate, and test the model. The evaluation of the model will employ metrics such as accuracy, precision, recall, and the F1 score, with results compared to the existing literature.
Machine Learning Techniques for Egg Production Prediction
Authors: Valdinéia Lemke  , Jefferson Oliveira Andrade  , Karin Satie Komati
Published: January 2025

Predicting egg production in poultry farming is a complex task due to the multitude of influencing factors such as temperature, nutrition, and environmental conditions. This study aims to evaluate the performance of various machine learning models in forecasting egg production using multivariate time series data. The dataset comprises records of the Hy-Line breed, divided into four batches, with attributes including age, maximum and minimum temperature, feed and water consumption, and daily production percentage. The study employs a sliding window technique to capture temporal patterns and evaluates models including Ridge Regression, Random Forest, XGBoost, and MLP. The models were trained on three batches and tested on the fourth, with performance measured using Mean Squared Error (MSE) and Mean Absolute Percentage Error (MAPE). The results indicate that Ridge Regression, with a window size of 7 days, provided the most accurate predictions, achieving an MSE of 19.74 and a MAPE of 3.81%. This study demonstrates the effectiveness of machine learning techniques and the sliding window approach in improving the accuracy of egg production forecasts, offering valuable insights for poultry farm management and optimization.
Non-intrusive implementation of the Generalized Finite Element Method with Global-Local Enrichment for multi-domain analysis
Authors: Túlio Roberto Eládio Marques  , Ana Clara Pedras Bueno  , Ramon Pereira da Silva  , Felício Bruzzi Barros
Published: January 2025

This work proposes a non-intrusive implementation of the Generalized Finite Element Method with Global-Local enrichment (GFEMgl-IGL) for multi-domain analysis. In GFEMgl-IGL, the global problem is initially discretized with a coarse mesh and without considering localized phenomena. The solution of this domain is obtained through the standard formulation of the Finite Element Method, using the commercial software Abaqus in this work. Following, mesoscales, as many as necessary, are defined as intermediate problems between the global and local domains (where localized phenomena of interest, such as cracks, are effectively represented). The global-local enrichment of the GFEMgl determines the association of each mesoscale with the respective local problem. The coupling of mesoscales with the global problem is established through the transfer of displacements and generalized forces, defining the non-intrusive strategy denominated Iterative Global-Local (IGL). Numerical simulations via GFEMgl are executed in the computational system INSANE (INteractive Structural ANalysis Enviroment - www.insane.dees.ufmg.br). The combination of solvers indicated in the solution methodology focuses on endorsing the application of algorithms developed in the academy as instruments with the capacity to solve complex models utilizing commercial software. This work proposes the expansion of the implementation of the non-intrusive strategy in INSANE, enabling the consideration of multiple local domains. A numerical example is presented to show the simulation's performance and to investigate the influence of the main parameters related to the proposed strategy.
Multi-objective truss structural optimization considering dynamic and stability behaviors and automatic member grouping
Authors: Afonso Celso de Castro Lemonge  , João Paulo Borsato de Carvalho Parêdes  , José Pedro de Gonçalves Carvalho  , Patricia Habib Hallak
Published: January 2025

This paper aims to address the challenge of multi-objective structural optimization in the search for the most efficient configuration of members in truss structures. Conflicting objectives, such as the structure's weight, the number of discrete cross-sectional areas, the first natural vibration frequency, and the first load factor relative to overall structural stability, must be optimized simultaneously, resulting in a Pareto Front (PF) that provides non-dominated solutions. NSGA-III is the multi-objective evolutionary algorithm adopted to solve the proposed optimization problems. Non-dominated solutions are extracted from the FP using multi-criteria decision-making (MCDM). New competitive configurations of structural members can be discovered, offering attractive alternatives to decision-makers in manufacturing, cutting, transportation, checking, and welding.
Optimal Design of Pile Caps considering Soil Structures Iteration
Authors: Marcos Antonio Campos Rodrigues  , Mateus Ronchi Zanelato  , Élcio Cassimiro Alves
Published: January 2025

This study presents a formulation for the optimum design of pile caps considering the soil structure interaction. To solve the optimization problem, the Bonobo algorithm is used. This algorithm was developed based on the social behavior of bonobos and is implemented for the design of the pile caps and the piles. The objective function considers the CO2 emissions and the pile cap final costs related to the materials used for its execution. The Brazilian standard impositions, and the criteria for determining the optimal dimensions of piles are the considered problem constraints. Comparative analyses are developed between the optimal solution against the proposed by structural design offices, and results proposed in the literature.
An educational computational program for nonlinear geometric analysis of truss structures using the Finite Element Method based on Positions
Authors: Danilo Silva Bomfim  , Luiz Fernando Martha  , Rodrigo Ribeiro Paccola
Published: January 2025

This study describes an educational computational program for the analysis of truss structures using the Finite Element Method based on Positions (FEMP). FEMP adopts the nodal positions of discretized elements as degrees of freedom, in contrast to the displacements used in conventional Finite Element Method (FEM). This approach enables FEMP to straightforwardly and naturally incorporate geometric nonlinearity into its positional formulation, simplifying the nonlinear geometric analysis of structures. The developed educational program provides a range of functionalities, allowing users to conduct both static and dynamic analyses of truss structures.
Dynamic effects on different rotor profiles for eVTOL applications
Authors: Brenno Taylor de Jesus Popov  , Polliana Cândida Oliveira Martins
Published: January 2025

Electric Vertical Take-Off and Landing (eVTOL) aircraft, commonly known as eVTOLs, represent a recent and promising concept for enhancing urban mobility, particularly in densely populated areas. However, the development of eVTOLs has been accompanied by various technical and technological challenges, primarily due to the rapid introduction of new concepts. Among these challenges, this study focuses on investigating the dynamic effects on rotor blades designed for such aircraft. Rotor blades, being subject to rotational dynamic effects, exhibit behavior distinct from components lacking angular velocity. Therefore, they are of particular interest for dynamic analysis. The study begins by defining a simplified geometry representative of a rotor blade, which serves as the basis for applying finite element methods using Ansys software. This approach enables the observation of the system's response to rotation. Following, more detailed geometries representing rotors are modelled, respectively in NACA 0012, VR 08 and VR 12 airfoils, which are then subject to the rotational effects numerical calculations. The results obtained for the different aerodynamic profiles are then compared, presenting the differences caused by the different geometries and mass distributions implied. The results obtained from the analysis highlight the significant impact of angular velocity on the fundamental frequencies and modes of the dynamic system. These findings suggest the presence of effects such as spin softening and strain stiffening, along with identifying important frequency coupling points.
Frequency and stress optimization of an engineered wood portal frame suporting a rotating machine
Authors: Geise Aparecida Pereira  , Reyolando Brasil
Published: January 2025

We consider a portal frame with 3 prismatic bars. The horizontal beam, of length L, is articulated at the top of the vertical columns, of height h, embedded in the base. The cross sections are rectangular with thickness b, constant, and width d, which can be different in the beam (dv) and in the columns (dc), always greater than or equal to the thickness. The material is considered linear and homogeneous elastic, with given modulus of elasticity (E) and density. In the middle of the beam span, a motor of mass M is mounted, rotating at a frequency of N rpm.Considering only the Service Limit State, we present the minimization of the mass of the structure so that the motor rotation frequency is always at least 20% above any of the first 2 undamped free vibration frequencies of the frame.
Nonlinear dynamic analysis of prestressed cable structure under random aerodynamic loading
Authors: Olívia Martins Ferreira Corrêa  , Reyolando Manoel Lopes Rebello da Fonseca Brasil
Published: January 2025

Abstract. This paper includes the development and dynamic analysis of a mathematical model of an elastic prestressed cable structure such as those used in light roof structures known as tensile structures in which the external loads are balanced by tensile forces in the cables. Due to the light weight of this structural model the aerodynamic loads are critical and determine the design.The model consists of four same length and section cables arranged in an X-shape in a planar view, fixed at one end, with an equivalent mass of the system in the center node, their other extremity. The cables are not in a plane: two opposite cables have their supports in the same positive vertical height, and the other two opposite cables have their support in the same negative vertical height.There are forces acting on the central node in the x, y and z directions modeling random aerodynamic loading simulated by a Monte Carlo-type procedure inspired by Prof. Francos Synthetic Wind Method. This technique involves creating several loading series combining different harmonic components with amplitudes and frequencies obtained from an adopted PSD (Power Spectrum Density Function) with randomly chosen phases. This results a large number of response displacements and tensions to be statistically treated to render sound engineering design decisions. The model admits large displacements so that a nonlinear dynamic approach is adopted. A numerical step-by-step finite differences time integration scheme is also implemented.
Reliability analysis of space debris mitigation strategies using the Monte Carlo process
Authors: Marcelo Araujo da Silva  , Matheus Alves de Lima
Published: January 2025

In light of growing space exploration, the risk of collisions involving satellites, rockets and the International Space Station has increased significantly due to the significative number of space debris (objects in orbit that are no longer useful). In this scenario, several public and private organizations have developed strategies to mitigate this problem. The CBERS-1 satellite, launched in 1999 in a Brazil-China collaboration, is still in orbit, despite being decommissioned in 2003. This study aims to evaluate the effectiveness and reliability of various mitigation strategies that could have been implemented during the decommissioning of CBERS-1, using the DRAMA (Debris Risk Assessment and Mitigation Analysis) program and the OSCAR (Orbital Spacecraft Active Removal) application, which uses the Monte Carlo method. The objective is to ensure that CBERS-1 re-enters the Earth's atmosphere within a period of 25 years, meeting the ESA (European Space Agency) space debris mitigation requirements. This work contributes to understanding and improving space debris mitigation practices in the context of increasing activity in space.
The Application of Monte Carlo Simulation and Finite Element Method in Structural Reliability of Aircraft Wing Structures
Authors: Geovane dos Santos Gomes  , Reyolando Manoel Lopes Rebello da Fonseca Brasil  , Marcelo Araujo da Silva
Published: January 2025

The aerospace industry increasingly demands performance and efficiency, therefore ensuring the structural integrity of aircraft components such as wings is crucial. In this context, reliability analysis methods offer a more robust assessment than classical deterministic approaches, once those consider the uncertainties present in the system. This work aims to determine the probability of failure of aircraft wing structures through the Monte Carlo Simulation (MCS), treating material properties and applied loads as random variables. Different profiles of wings were modelled in a computer-aided design (CAD) environment and their geometries were exported to MATLAB®, where the limit state function was evaluated using the finite element method (FEM).
Nonlinear metabeam for vibration absorption and energy harvesting
Authors: João Pedro Canisso Valese Norenberg  , Americo Barbosa da Cunha Junior  , Diego Misseroni
Published: January 2025

Metamaterials are engineered materials that surpass conventional ones with their exceptional performance. These systems exhibit diverse properties, including excellent energy absorption, acoustic insulation, cloaking, negative Poisson's ratio, and more. In addition, they can possess the remarkable ability to serve multiple functions simultaneously, thereby achieving more than one objective. This study delves into the creation of a beam based on metamaterial engineered to attenuate vibrations while harvesting this kinetic energy for electricity generation. The system works by preventing elastic wave propagation along its length and focusing the incident wave into piezoelectric generators, responsible for the energy conversion. Consequently, we can use this energy to power microelectronic devices such as sensors and actuators. The proposed metabeam consists of a cantilever beam with nonlinear resonators equipped with piezoelectric layers. This arrangement establishes a wide local resonance bandgap on the frequency spectrum of the host beam forbidden the elastic wave propagation. The incident wave is transmitted to the resonators, where they convert kinetic energy into electricity. Nonlinearity is strategically introduced into the resonator to broaden the operational bandwidth. Mathematical modeling is developed, and numerical simulations are conducted to study and demonstrate the performance of the proposed system.
Wave and vibration attenuation analyzes of 2-D phononic crystals using the scaled boundary finite element method
Authors: Edson Jansen Pedrosa de Miranda Junior  , Hélio Vitor Cantanhêde  , José Maria Campos Dos Santos
Published: January 2025

This study uses the scaled boundary finite element method (SBFEM) to study the wave propagation and vibration in a 2-D phononic crystal (PnC). The SBFEM is a general semi-analytical method where a problem domain is divided into subdomains satisfying the scaling requirement. It offers the advantages of the finite element method (FEM) and the boundary element method (BEM), avoiding some drawbacks and making it very attractive for PnC applications. In this investigation, the SBFEM is formulated using the Bloch-Floquet theory to model the periodic 2-D PnC unit cells. The 2-D PnC is composed by square inclusions distributed in a matrix with square lattice. The SBFEM results are computed in the form of dispersion diagram and forced response of the 2-D PnC. The dispersion diagram obtained by the SBFEM is validated with those obtained by the FEM and plane wave expansion (PWE) method. The unit cell wave attenuation (i.e., the imaginary part of wave number multiplied by the unit cell length) is also computed by using the extended plane wave expansion (EPWE) approach.
Experimental and numerical study of damage mechanisms in cementitious materials reinforced with twisted steel fibers
Authors: Giulia Toni Caravello  , Marcello Congro  , Deane Roehl
Published: January 2025

This study proposes to investigate damage mechanisms in the fiber/matrix interface, considering the use of twisted steel fibers incorporated into conventional and high-strength cementitious matrices. The methods employed include fiber pull-out tests and X-ray tomography for the detection and analysis of microcracks in the interface region. Additionally, elastoplastic finite element models will be developed, integrated with contact formulations, using the commercial software ABAQUS. Validation of the numerical models will be performed by comparing the characteristics of damage propagation obtained through microCT images with the simulated results.
Nonlinear analysis of static and dynamic stability of spatial truss structures using the positional Finite Element Method
Authors: Mateus Nunes Hidalgo Monteiro Dias  , Arthur Álax de Araújo Albuquerque  , Kaio César Borges Benedetti
Published: January 2025

In order to ensure stuctural safety, in addition to checking for strength, structures must also be analyzed for stability, as structural collapse can occur due to material rupture or instability. The study of local or global stability loss in a structure is conducted considering geometric nonlinearity, where the structure's equilibrium is always satisfied in its deformed configuration. One way to study structural instability is by using numerical methods such as the Finite Element Method (FEM) based on positions. Positional FEM relies on the change in the body's configuration through an initial and current mapping system. This characteristic considers geometric nonlinearity. In this context, this work aims to apply positional FEM with a total Lagrangian reference system for the analysis of instability in spatial truss structures. The equilibrium equation system will be solved using the Newton-Raphson method, and dynamic behavior will be considered using the Newmark method. The expected results include nonlinear equilibrium curves, structure responses over time, natural frequencies, and vibration modes.
Application of Convolutional Neural Networks for Advanced Classification of Power Quality Signals
Authors: Marcus Varanis  , Arthur Martins de Abreu  , Jose Monoel Balthazar
Published: January 2025

In this work, we explore the classification of power quality signals using a simulated database incorporating both unique and combined disturbances in accordance with IEEE 1159 standards. The primary focus is on employing convolutional neural networks (CNNs) for the detection and classification of these anomalies. To assess the effectiveness of our approach, we conducted a comprehensive comparison between the outcomes from CNNs and traditional machine learning techniques, as well as with recent literature findings. Preliminary results indicate that CNNs exhibit a remarkable ability to capture distinctive features of power quality signals, surpassing traditional methodologies in terms of accuracy and robustness. This study not only reaffirms the potential of convolutional neural networks in the field of power quality monitoring but also paves the way for future investigations that might explore more complex deep learning approaches to further enhance the accuracy of anomaly classification in electrical systems.