bluuebunny/crossref_metadata_2025 huggingface dataset:
Um plano de curso para o ensino de requisitos de software nos cursos de Graduação em Engenharia de Software
Authors: Santos Estêvão Damasceno , Oliveira Sandro Ronaldo Bezerra
Published: November 2024

O processo de ensino-aprendizagem é constiuído pela interação dinâmica entre o ensino, conduzido pelo professor, e a aprendizagem, vivenciada pelo aluno. Para tal, faz-se necessária a organização e o planejamento dos passos a serem seguidos em sala de aula. Instrumentos que ajudam os professores nesse processo são essenciais para otimizar o ensino-aprendizagem. Nesse contexto, este trabalho tem como objetivo apresentar um plano de curso para o ensino de Requisitos de Software, realizando a utilização de metodologias ativas de ensino. Para atingir esse objetivo, foram adotadas as seguintes etapas metodológicas: revisão da literatura sobre abordagens de ensino de Requisitos de Software; mapeamento de competências entre os currículos ACM/IEEE e SBC para o curso de Engenharia de Software na área de Requisitos de Software; análise dos principais Projetos Pedagógicos de Curso das Instituições de Ensino Superior no Brasil; estruturação do plano de curso para o ensino de Requisitos de Software; e avaliação por meio de revisão por pares do plano de curso. Os principais resultados incluem o desenvolvimento do plano de curso que incorpora as principais metodologias ativas identificadas na literatura e a apresentação de procedimentos metodológicos para a implementação eficaz do curso.
Eisenia fetida como bioindicadora da qualidade de águas de açudes e residuária
Authors: Silva Alex Sandro Alves da , Araújo Severino Bezerra de , Silva Maria Valdeane Caetano da , Araújo Narcísio Cabral de , Carneiro Maria Vitória Dias , Nápoles Fábio Agra de Medeiros , Oliveira Suenildo Jósemo Costa
Published: November 2024

As minhocas são consideradas excelentes bioindicadoras nos testes ecotoxicológicos e de bioensaios da qualidade ambiental. Diante do exposto objetiva-se com esta pesquisa, estudar o comportamento da minhoca Eisenia fetida como bioindicadora da qualidade de águas de açudes e residuária. O experimento foi conduzido no laboratório de microbiologia, sendo disposto em um DIC, composto por 4 tratamentos e 5 repetições. Utilizou-se da análise multivariada para interpretação dos resultados. A maior taxa de mortalidade ocorreu quando se utilizou da água residuária. Já a utilização da água do açude de Bodocongó apresentou a maior taxa de crescimento relativa e específica. Os melhores resultados para massa e número de casulos e de minhocas jovens, foi obtido com a utilização da água do açude de Boqueirão. Em todas as variáveis estudadas a água do açude Velho, obteve péssimos resultados. Concluiu-se que a água do açude de Boqueirão foi a única que não apresentou contaminação, sendo aceita pelas minhocas. As águas do açude Velho e Residuária foram consideradas altamente poluídas e rejeitadas pela E. fetida. A água do açude de Bodocongó, embora poluída favoreceu o desenvolvimento da E. fetida. A espécie E. fetida mostrou-se eficiente como bioindicadora da qualidade das águas utilizadas na experimentação.
Avaliação das implicações na função estomatognática de pacientes acometidos pelo tórus mandibular ou tórus palatino: uma revisão de literatura
Authors: Araújo Eloá Lohane , Silva Jênifer Rodrigues da , Oliveira Gabriela de , Moscatel Matheus Bento Medeiros
Published: November 2024

O tórus é uma exostose benigna, ou seja, um crescimento ósseo anormal, desprovido de potencial de malignidade. Essa protuberância óssea se apresenta firme e indolor a apalpação, com crescimento lento. O diagnóstico é feito por meio de avaliação clínica, sendo raro casos em que a biopsia seja necessária, podendo ocorrer tanto na maxila, quanto na mandíbula. O tórus pode causar complicações funcionais, indicando a necessidade de remoção cirúrgica, em alguns casos seu crescimento excessivo interfere na mastigação, deglutição, fonação, podendo inclusive causar traumatismos na mucosa oral. Deste modo o objetivo do presente trabalho, por meio de uma revisão de literatura, foi discorrer e abordar os aspectos que interferem na função bucal quando há a presença do tórus, além de buscar compreender essa condição benigna, porém potencialmente limitante. Com base nos dados obtidos, é possível observar uma maior prevalência de alterações associadas a casos de tórus mandibulares, seja relacionado a obstrução de glândulas salivares ou ainda alteração na força de mordida ou o desenvolvimento da apneia obstrutiva do sono. O tórus palatino não apresentou relação significativa dentre esses acometimentos comparada com o torus mandibular. Conclui-se que quando o tamanho do tórus na região mandibular se encontra demasiadamente aumentado, a obstrução do ducto salivar submandibular pode vir a ocorrer. Também podem ser observados casos de aumento da força de mordida em decorrência de seu aumento. Uma eficaz avaliação clínica e pertinente planejamento de tratamento por meio de um Cirurgião-Dentista são indispensáveis, para resolução de casos em que o tórus se faz presente.
Influence of the Current Ratio and Debt to Equity Ratio on Return of Assets Against ANTM Company. Tbk
Authors: Purnamawati Hilda , Noorwasylatusyfa Erdyani , Sukiman Iyan
Published: November 2024

This study aims to determine how much influence the current ratio and debt to equity ratio have on the return on assets of the ANTM company. Tbk. This study uses financial report data over a period of 5 years from 2017-2021 as a research sample using SPSS25. The method used in this research is asociative descriptive analysis with a quantitative approach. The instrument used in this research is financial report data for a span of 5 years for each variable. Based on the results of data analysis obtained multiple linear regression equations from the results of hypothesis testing obtained that the results showed that the variable current ratio (X1) and debt to equity ratio (X2) had a calculated F value of 102.762 and a sig value of 0.000 with an F table value of 18.153. With the results of F count > F table and sig count < 0.005, it can be concluded that simultaneously the current ratio and debt to equity ratio affect the return on assets (Y). In this study, it was also found that the coefficient of determination had an effect of 67.9%, which means that the influence of the current ratio and Debt to equity ratio on the return on assets is 67.9%, the remaining 32.1% is influenced by other factors not included in this study
Impact of Efficiency of Working Capital Management on Company Profitability
Authors: Wahyuningsih Mutia , Sihombing Pardomuan , Indira Puspa Gustiah
Published: November 2024

This research aims to analyze the influence of working capital management efficiency (Working Capital Turnover) on Return On Total Assets and the role of Diversification Strategy as a moderating variable on the influence of Working Capital Turnover on Return On Total Assets. The research population is green industry award-winning companies listed on the Indonesia Stock Exchange for the 2019-2021 period. Data obtained from financial reports (Audited). The analysis was carried out using a panel data regression approach with moderating variables used to test the hypotheses in this research. Purpose – The research results show that Working Capital Turnover has a significant negative effect on Return On Total Assets and Diversification Strategy as a moderating variable in the relationship between Working Capital Turnover and Return On Total Assets has a significant positive effect.
Research on inventory optimization and profit maximization of chicken farms based on integer programming
Authors: Zhang Junmeng , Hou Qinghan
Published: November 2024

With the continuous growth in global demand for meat and eggs, the livestock industry is becoming increasingly important in the agricultural economy. However, a critical issue that needs to be addressed is how to optimize the operational efficiency of farms and improve economic benefits through scientific methods under limited resources. This paper constructs a mathematical model for profit maximization in chicken farms based on integer programming theory. The model considers multiple factors, including chicken types, feed costs, and market prices, and uses the branch-and-bound method to determine the optimal number of chickens under different market conditions. The results show that reasonably adjusting the proportion of chickens in the farm according to current market prices can significantly increase the farms profit, providing important decision-making references for actual operations.
Methods comparison for neural network-based structural damage recognition and classification
Authors: Che Chang , Tian Junchi
Published: November 2024

Machine learning has brought significant advancements to the field of structural health monitoring, providing flexible and efficient solutions for detecting both local and global damage in various infrastructures. Local damage detection focuses on identifying issues such as cracks and spalling in specific areas of concrete structures, including bridges, highways, and tunnels. Techniques like artificial neural networks (ANNs) and deep neural networks (DNNs) have proven effective in surface defect recognition, demonstrating their versatility across different structural environments. Additionally, cost-effective methods leveraging devices such as smartphones have been explored for rapid road integrity assessments, offering practical and affordable solutions. On a larger scale, global damage detection involves classifying structural collapse modes and types of damage, utilizing feature extraction and deep learning models to improve the accuracy of identifying large-scale failures. These advancements highlight the growing importance of machine learning and computer vision in enhancing the resilience and real-time monitoring of critical infrastructure systems.
Keefektifan Perencanaan Pelaksanaan Praktik Kerja Lapangan (PKL) Kurikulum Merdeka pada Program Keahlian Akuntansi Keuangan Lembaga SMK N 1 Karanganyar
Authors: Rosiana Dina , Sohidina Sohidina
Published: November 2024

Penelitian ini bertujuan untuk memperoleh informasi mengenai efektivitas perencanaan pelaksanaan Praktik Kerja Lapangan (PKL) Kurikulum Merdeka pada Program Keahlian Akuntansi Keuangan Lembaga SMKN 1 Karanganyar. Penelitian ini merupakan penelitian deskriptif kualitatif dengan teknik wawancara, dokumentasi, dan observasi dengan menggunakan metode evaluasi Countenance Stake. Informan dari penelitian ini adalah Wakil Kepala Sekolah Bidang Kurikulum, Ketua Kompetensi Keahlian AKL, dan guru pembimbing PKL dari Kompetensi Keahlian AKL. Berdasarkan metode evaluasi Countenance Stake, perencanaan pelaksanaan PKL Kurikulum Merdeka dibagi menjadi tiga komponen, yaitu antecedent, transactions, dan outcomes. Pengambilan keputusan atau penilaian untuk evaluasi dikategorikan ke dalam lima tingkatan yaitu sangat efektif, efektif, cukup efektif, kurang efektif, dan sangat kurang efektif. Kategorisasi ini didasarkan pada perbandingan standar objektif dengan kondisi Prakti Kerja Lapangan Kurikulum Merdeka di SMK N 1 Karanganyar pada Program Keahlian Akuntansi Keuangan Lembaga. Berdasarkan standar objektif PKL Kurikulum Merdeka terdapat 8 aspek yang di dalamnya terdapat 26 sub-aspek. Berdasarkan penelitian evaluasi pada perencanaan pelaksanaan PKL Kurikulum Merdeka di SMK N 1 Karanganyar pada Program Keahlian Akuntansi Keuangan Lembaga, disimpulkan bahwa terdapat 21 sub-aspek telah memenuhi dan 5 sub-aspek lainnya belum memenuhi standar objektif, sehingga perencanaan pelaksanaan PKL Kurikulum Merdeka di SMK N 1 Karanganyar pada Program Keahlian Akuntansi Keuangan Lembaga masuk pada kategori sangat efektif dengan persentase 80,77%.
Exploratory Analysis on the Physical and Microstructural Properties of Aluminum/Fly-Ash Composite
Authors: Alade O. E. , Emekwisia C. C. , Emejulu E. C. , Aruya G. A. , Afolabi S. O. , Okoye J. C. , Okiye S. E.
Published: November 2024

Metal Matrix Composite (MMC) is an innovative material that has the ability to address demands in a number of industries, including mining, automotive, and aerospace. Stir casting is a well-known technique for making MMC. With weight fractions of 10%, 20%, 30%, and 40%, this study aims to analyze the impact of fly ash addition on the physical properties of aluminum (matrix) - FA (reinforcing phase) composites.The test for water absorbent was carried for each samples at 25°C immersed in water at different time interval of 24hrs, 48hrs, 72hrs, and 96hrs. The density test was carried out on the AL/FA composite samples. The water absorption test results showed that at 20wt% of fly ash composite, the optimum water absorption (0.4%) result was obtained at 24hrs, and also at 48hrs for 10wt%. The density of the composites increased with increasing amount of fly ash, and attained optimum of 4.08g/cm3 at 30wt%. The surface morphology of the samples was observed using digital metallurgical microscope. The scope of this study is to determine the physical and morphological properties of Al/FA reinforced composites.
Volatile data acquisition and analysis by using Memory Forensics techniques
Authors: Rabia Mehmood
Published: November 2024

Memory forensics is a vital component of digital investigations, involving the analysis of volatile memory (RAM) in computer systems to gather evidence, identify malicious activities, and reconstruct cybercrime incidents. This paper provides an overview of memory forensics, highlighting its definition, importance, purpose, and scope. It explores the evolution and significance of memory forensics in response to increasingly complex cyber threats. The memory forensics process is discussed, covering memory acquisition and analysis. Legal and ethical considerations related to the admissibility of memory evidence and privacy protection are examined. The paper also discusses the types of memory, including physical and virtual memory, and their characteristics and significance in memory forensics. Furthermore, it explores the memory acquisition process, different methods, tools, and techniques used, as well as the importance of preserving evidence integrity. Finally, the paper introduces various tools for memory analysis, such as Volatility, Volatility Workbench, FTK Imager, Encase, Hibernation Recon, and Xplico, and highlights their role in extracting valuable evidence from memory dumps.
Building an Impenetrable Vault: Advanced Cybersecurity Strategies for Database Servers
Authors: Sozol Md Shariar , Islam Md Minhazul , Rahman Md Mostafizur , Uzzaman Md Arafath , Zamshed Md , Saki Golam Mostafa
Published: November 2024

Organizations are relying more on database servers as storage for important information. This makes it imperative for strong measures against cyber-attack to safeguard sensitive data. The study focusses on some advanced ways of protecting database servers from cyber-crime and these are: SQL injection prevention, role-based access control, data encryption techniques, and insider threat mitigation. It also looks into the latest developments in the area such as machine learning based abnormality detection, Zero Trust architecture, and multi-factor authentication. Such practices make it possible to establish a multi-layered defensive mechanism that enhances data protection by considering the outside as well as inside dangers. Besides compliance with regulations, maintaining visibility and patch management is vital so as to remain ahead of changing cyberspace dangers. Therefore, this research presents an array of recommendations to address the entire security landscape for resilient database platforms against sophisticated assaults. The conclusions point out that there is need to amalgamate these practices towards ensuring safety in terms of risks related with contemporary database server setups. Key Words: Database Security, SQL Injection, Role-Based Access Control, Data Encryption, Insider Threat, Zero Trust Architecture.
Statistical relationships between filtration and capacitance properties of reservoirs in Western Siberia based on a generalized model of capillary curves
Authors:   Institute of Oil and Gas, Ufa State Petroleum Technological University (branch in Oktyabrsky), Russia, Akhmetov R. T. , Kuleshova L. S. ,   Institute of Oil and Gas, Ufa State Petroleum Technological University (branch in Oktyabrsky), Russia, Mukhametshin V. V. ,   Ufa State Petroleum Technological University, Ufa, Russia, Mikhailov M. O. ,   Institute of Oil and Gas, Ufa State Petroleum Technological University (branch in Oktyabrsky), Russia
Published: November 2024

The paper shows that the generalized mathematical model of capillary curves implicitly contains analytical connections between filtration and capacitive properties of productive layers. The method of determining the absolute permeability presented in this paper is based on the use of a generalized model. It does not require the preliminary construction of a geological model of the residual water saturation of oil and gas reservoirs. The proposed method uses correlations between current and residual water saturation at a fixed capillary pressure. The proposed statistical model makes it possible to significantly increase the reliability and accuracy of the estimation of absolute permeability according to capillarimetry data. Keywords: permeability; residual water saturation; capillary pressure; generalized model; analytical connections.
On the depth of identification of objects in the study of the influence of the density of the grid of wells on the degree of production of oil reserves
Authors:   Ufa State Petroleum Technological University, Ufa, Russia, Mukhametshin V. V. , Gilyazetdinov R. A. ,   Institute of Oil and Gas, Ufa State Petroleum Technological University, (branch in the City of Oktyabrsky), Russia, Kuleshova L. S. ,   Institute of Oil and Gas, Ufa State Petroleum Technological University, (branch in the City of Oktyabrsky), Russia, Novruzova S. H. ,   Azerbaijan State Oil and Industry University, Baku, Azerbaijan, Askerov V. M. ,   «OilGasScientificResearchProject» Institute, SOCAR, Baku, Azerbaijan
Published: November 2024

The article studies the effect of the well grid density on the final oil recovery coefficient under conditions of various groups of objects in carbonate reservoirs of the Volga-Ural oil and gas province. The issue being solved within the framework of this work is one of the most relevant and important when making various management decisions in conditions of uncertainty, significant variability and heterogeneity of geological and field data. More than 500 deposits of carbonate reservoirs were selected for the study, the development of which is carried out on the territory of the Ural-Volga region. To implement an integrated approach, the construction of models was carried out in several interrelated stages. Within the framework of basic modeling, field statistical methods were used to identify dependencies describing at a high quantitative and qualitative level the relationship between the oil recovery coefficient and the density of the well grid before flooding. To obtain the most representative results, a separate approach based on the preliminary division of objects into groups was also used. At the second stage, in addition, a deep differentiation of the initial objects was implemented to determine hidden patterns within already formed groups and a similar construction of models according to which interpretation was performed. When combining the results obtained, it was reliably established that models for assessing the degree of reserve production from the density of the well grid should be built not only in general by tectonic and stratigraphic elements, but also differentially by groups identified as a result of in-depth identification of development sites. It is proposed to use the obtained dependencies to solve the problems of optimizing the density of the well grid for both long-term oil deposits under development and newly commissioned and at the stage of drafting the first design documents. Keywords: well grid density; oil recovery coefficient; modeling; grouping of deposits of the Volga-Ural oil and gas province; deep identification of objects; carbonate reservoirs.
Application of machine learning algorithms for optimizing the trajectory of inclined wells
Authors:   Azerbaijan State Oil and Industry University, Baku, Azerbaijan, Ismailov Sh. Z. , Shmoncheva Y. Y. ,   Azerbaijan State Oil and Industry University, Baku, Azerbaijan, Jabbarova G. V. ,   Azerbaijan State Oil and Industry University, Baku, Azerbaijan
Published: November 2024

Machine learning, a subset of artificial intelligence, allows computers to learn and improve from data without explicit programming. Machine learning algorithms are categorized into supervised, unsupervised, and reinforcement learning, each serving different applications such as classification, clustering, and decision-making. In the oil and gas industry, machine learning is applied to drilling processes, reservoir characterization, and exploration. It improves efficiency in predicting reservoir properties, optimizing drilling parameters, and detecting anomalies. The methodology for analyzing well trajectory includes evaluating survey data with calculation methods like tangential, balanced tangential, average angle, radius of curvature, and minimum curvature. These methods help optimize wellbore paths. This study outlines control criteria essential for optimizing borehole trajectory management in oil and gas well drilling. The deviation correction criterion aims to maintain the borehole path within a designated trajectory, minimizing deviation from the planned design profile. Optimal control conditions are defined through mathematical criteria involving radius vectors and design trajectory alignment. The control framework incorporates efficiency measures, calculating the trajectory's costeffectiveness and operational constraints. Machine learning algorithms facilitate these control strategies, focusing particularly on zenith angle correction for trajectory stabilization. These methods provide adaptable options for deflector angle and correction length, ensuring alignment with target intervals. The approach enhances trajectory accuracy, minimizes costs, and complies with technical, geological, and technological constraints inherent to drilling. Software incorporating machine learning and these methods was developed and tested, demonstrating improvements in analyzing survey data and optimizing well trajectory, contributing to more efficient drilling operations and reduced costs. Keywords: machine learning; mathematical models; control criteria; well trajectory optimization; survey data analysis; calculation methods.
Evaluation of neurotransmitters (Gamma-aminobutyric acid and serotonin) and apoptosis factor (Caspase-7) as biomarkers for the diagnosis of autism spectrum disorder
Authors: Hameed Noor Ahmed , Hassan Shrouk Abd Alrazak , Abbas Hamid Jaddoa
Published: November 2024

Autism spectrum disorder (ASD) is a neurodevelopmental disability characterized by impaired communication and social skills along with restricted interests and repetitive behaviors. Biomarkers such as γ-aminobutyric acid (GABA), serotonin (5-Hydroxytryptamine, 5-HT) and caspase-7, showing potential for early diagnosis and management of ASD. To evaluate the effectiveness of GABA, serotonin and caspase-7 as novel biomarkers to predict autism at an early stage. A case- control study which started from November 2023 to June 2024, that involved 77 children’s patients, newly diagnosed with autism. The control group was comprised of 61 age- and sex-matched apparently healthy children, they had no history of autism and any other chronic diseases. Serum samples were analyzed for GABA, serotonin and caspase-7 by using enzyme linked immune-sorbent assay (ELISA) technique. The statistical package for social sciences (SPSS- 26) was used for data analyses. The study revealed significantly elevated GAMA and caspase-7 levels; while, no significant differences of serotonin level between the autistic children’s patients and the control group. This study provides a groundbreaking revelation of the biochemical markers (GAMA and caspase-7) and autism spectrum disorder, the myriad metabolic and neurochemical dysfunctions of which form a complex tapestry of ASD.
Deniz yosunu özütü ve arbusküler mikorizanın birlikte uygulanmasının Brassica oleracea var. botrytis L.'nin verim unsurları üzerine etkileri.
Authors: Çelik Yusuf
Published: November 2024

Karnabahar yetiştiriciliğinde daha fazla mahsul elde etmek için toprak sağlığı ve gıda güvenliği sorunları ihmal edilerek yüksek miktarlarda kimyasal gübreler kullanılmaktadır. Kimyasal gübrelerin tarımda aşırı kullanılması sonucunda toprağın fiziksel, biyolojik ve kimyasal yapısı zamanla bozulmakta mahsul verimi ve kalitesi zamanla düşmektedir. Tesadüf blokları deneme deseninde dört tekerrürlü uygulanan çalışmada, Arbusküler Mikorhizal Fungi (AMF), artan dozlarda deniz yosunu (DY) ve %30 oranında azaltılmış kimyasal gübre (7/10KG) kullanılarak bitkisel verim üzerindeki etkileri araştırılmıştır. Denemede; bitki taç uzunluğu, taç çapı, gövde çapı, gövde uzunluğu, taç ağırlığı, pazarlanabilir verim, yaprak sayısı, yaprak uzunluğu, yaprak çapı ve yapraklarda bazı besin elementleri içerikleri ölçülmüştür. Çalışmada yapılan ölçümlere göre; deniz yosunu dozlarındaki artışa bağlı olarak verimde artış olmuştur. Tekli (AMF, KG ve kontrol) uygulamalardan elde edilen verim unsurları 200 ml / 100 L su + AMF +7/10KG ve 400 ml / 100 L su + AMF + 7/10 KG kombinasyonlarından elde edilen değerlere göre düşük olmuştur. Uygulamalar arasında en yüksek değerleri aynı önem seviyesinde 200ml/100Lsu+AMF+7/10KG ve 400ml/100Lsu+AMF+7/10KG kombinasyonlarından elde edilmiştir. En yüksek değer alan uygulamalar kontrol uygulamasına göre, bitki taç boyunda %25.6, bitki taç çapında % 37.3 bitki gövde çapında %17.5, gövde uzunluğunda %57.4, taç ağırlığında %75, pazarlanabilir verimde %80.7 yaprak uzunluğunda 33, yaprak çapında %55.5 oranında göre artış sağlamıştır. DY ve AMF'nin birlikte uygulanması yaprak N, P ve K içeriğini sırasıyla %48.4, %% 33.3 ve %34.6 oranında artırdı. Ca, Mg, Fe, Zn ve Mn içeriklerinde de önemli artışlar sağlamıştır.Bu sonuçlara göre; DY ve AMF’nin birlikte uygulanmasıyla kimyasal gübre dozlarında %30 oranında azaltma yapılabileceği ve bu durumda karnabaharda büyüme, verim ve besin içeriğinde bir iyileşme sağlanabilmektedir.
Impact of Heterogeneous Environmental Regulation on Carbon Emissions: Firm-Level Evidence from China's Manufacturing Industry
Authors: Liu Keminhui
Published: November 2024

Government implementation of environmental regulatory measures is typically an efficacious means of mitigating carbon emissions from firms, and the diversification of regulatory forms provides producers with diversified choice space so that enterprises can choose ecologically favorable production methods according to their own circumstances. Based on the unbalanced panel data of 2140 listed manufacturing companies in China from 2011 to 2019, this study uses a fixed-effects model to investigate the impact and mechanisms of command-and-control, market-based, and public participation environmental regulations on corporate carbon emissions. The study finds that all three types of environmental regulations significantly reduce corporate carbon emissions, and the results are robust. Mechanism tests suggest that environmental regulations can reduce corporate carbon emissions by increasing research and development (R&D) investment. Heterogeneity analysis indicates that the carbon reduction effect of environmental regulations is more pronounced in samples of enterprises in the eastern region, heavily-polluting industries, and highly marketized industries. Further analysis reveals that digital transformation negatively moderates the impact of command-and-control and public participation environmental regulations on corporate carbon emissions. The aforementioned findings offer policymakers significant empirical evidence on effectively promoting the development of low-carbon initiatives and enhancing coordination in China’ s government regulations for environmental governance.
Quality of Phytosanitary Application in Ricinus communis L. Cultivation
Authors: Lisboa Cristiane F. , Machado Tulio de A. , Reis Elton F. dos , Costa Lilian L. , Silva Camilla S. da , Vilela Ailyn de O. , Coelho Ana Paula de F. , Patriarca Jefferson de S.
Published: November 2024

One of the main challenges in castor bean (Ricinus communis L.) crop is controlling gray mold (A. ricini), a fungal disease. Most fungicides used are contact-based, and the plant’s architecture complicates application efficiency. The objective of this research was to evaluate droplet deposition and spectrum in different parts of the castor plant canopy using various spray tips and flow rates. The experiment was conducted at the Instituto Mato-Grossense do Algodão (IMA) in Rondonópolis, MT, using a New Holland TL 75 tractor and a Jacto Columbia Cross sprayer. The results were in percentages and a 3-factor factor analysis was performed, where A (Tip) = 2 levels, B (Volume) = 3 levels and C (Position) = 3 levels ith four replications, using Scott-Knott test and software Assistat. Treatments involved two hydraulic nozzles (JAC 80015 and JAC 8002), three flow rates (120, 150, and 180 L per ha⁻¹), and three plant positions (lower, middle, upper third). Data were analyzed using the “F” test and compared by the Scott-Knott test at a 5% significance level. The results showed that spray tips influenced VMD, NMD, and product concentration, with greater deposition and coverage observed in the upper third of the plant.
The Importance of Optimal Nutritional Intake for The Health of Pregnant Women in Indonesia: Key Challenges and Strategic Solutions
Authors: Suparji Suparji , Wahito Nugroho Heru Santoso , Puji Rahayu Teta , Nur Hanifah Astin , Sulikah  , Prayogi Agus Sarwo
Published: November 2024

Optimal nutrition during pregnancy plays a vital role in ensuring maternal health and healthy fetal development. Appropriate nutritional needs, including macronutrients and micronutrients, are essential to support fetal growth, prevent pregnancy complications, and reduce the risk of premature birth and low birth weight. In Indonesia, maternal nutrition is still a major challenge, with a high prevalence of anemia and chronic energy deficiency. Factors such as economic constraints, unequal access to health services, lack of education about the importance of nutrition, and socio-cultural influences on diet, exacerbate this condition. The challenge in meeting the nutritional needs of pregnant women is also related to the low awareness and knowledge of nutrition among the community, especially in remote areas. To overcome this problem, a multi-sectoral approach is needed involving government intervention, community empowerment, and increasing access to health services. Continuous education and targeted nutritional assistance programs can be effective solutions in improving the nutritional status of pregnant women in Indonesia. Thus, strong cooperation is needed between various stakeholders to ensure optimal maternal health, which will ultimately improve the quality of future generations.
Cultural Perception Effects on Customer Experience and Customer Patronage of Branded Alcoholic Bitters Beverage
Authors:   Department of Business Administration, Hallmark University, Ijebu-Itele, Ogun State, Nigeria, Olalekan Ph.D ENITILO . , Adigwe Daniel, Ph.D. OGBECHI, ,   Department of Business Administration, Hallmark University, Ijebu-Itele, Ogun State, Nigeria
Published: November 2024

Under the impact of globalization, consumers from different culture might hold different information processing tendency towards certain concepts and different perception since cultural orientation affects their perception and expectation. Firms are increasingly using the framework of customer experience to define their offering since differentiating one’s product or service is to create memorable customer experience. The purpose of the study is to assess cultural perception in relation to customers’ experience and customer patronage of branded alcoholic bitters beverage. All the consumers of branded alcoholic bitters beverage in Lagos State and who visited the designated place within the four (4) weeks period made up the study population. 1153 usable research instrument were retrieved based on the researchers’ judgment through convenience sampling technique and data collected were analyzed using descriptive and inferential statistical tools. T-test of multiple regression analysis were used to analyze factors in the independent variables and their effects on the dependent variable. The study revealed that cultural perception, customer experience and customer patronage have a very strong and positive relationship therefore, concluded that there is strong positive relationship between cultural perception, customer experience and customer patronage based on the consumers’ cultural perception as they try to experience the product. It is therefore, recommended that Organizations, Marketers, and other stakeholders in relation to marketing of alcoholic bitters beverage understands how to play along cultural perception by building and creating a strong attributes of perception of the product in mind of consumers. Also, conduct customer experience survey from time to time in order to monitor and obtain information on how to sustain and improve the consumers’ feels about their product by focusing on those factor that will help build a long-lasting and mutually profitable relationship with its’ customers.
Número mínimo de sementes de soja para avaliação de semeadoras de precisão
Authors: Dias Vilnei de Oliveira , Conceição Chaiane Guerra da , Fontanela Eracilda , Cunha Vinícius dos Santos , Cornélio Jhon Pablo de Lima , Santos Amanda Rithieli Pereira dos , Moraes Stefani Refatti , Hitz Maria Eduarda
Published: November 2024

O presente trabalho teve como objetivo determinar o tamanho de amostra mínimo para avaliar o desempenho de semeadoras de precisão com sementes de soja para experimentos em laboratório. O ensaio foi conduzido sobre esteira carpetada conforme instruções da International Organization for Standardization. Para compor os tratamentos, foram combinados quatro mecanismos dosadores de sementes com quatro velocidades periféricas do disco dosador em esquema fatorial 4x4 com três repetições. Para cada tratamento, foram coletados 280 espaçamentos entre sementes, de um total de 13440 ao longo do experimento. Para determinar os tamanhos de amostra, foram utilizados três métodos de determinação: intensidade de amostragem, bootstrap e comparação das médias do percentual de espaçamentos aceitáveis. Pode-se concluir que o método bootstrap é o mais confiável para determinar o tamanho de amostra em experimentos para avaliação de desempenho de semeadoras. Por este método, foi possível reduzir em pelo menos 25% o tamanho original de amostra de 250 espaçamentos entre sementes.
Atuação do farmacêutico na suplementação de vitamina D: revisão de literatura
Authors: Silva Maiara Domingues da , Silva Claudinei Mesquita da
Published: November 2024

O farmacêutico é o profissional responsável por revisar prescrições médicas, avaliar interações medicamentosas, identificar possíveis erros e orientar o indivíduo sobre o uso correto da formulação prescrita. É fundamental para que a suplementação seja eficaz e o paciente tenha conhecimento dos possíveis efeitos adversos relacionados. O objetivo foi compreender como o farmacêutico pode atuar para garantir uma suplementação terapêutica ou profilática de vitamina D segura e resolutiva. Esta revisão de literatura foi elaborada conforme as recomendações adaptadas da diretriz Preferred Reporting Items for Systematic reviews and Meta-Analysiss (PRISMA). Foi utilizada a estratégia de busca [(Vitamin D[Title/Abstract]) AND pharmacist] para resgatar as obras disponíveis na base de dados PubMed. Foram incluídos apenas estudos em português ou inglês, publicados entre janeiro de 2014 e junho de 2024. A intervenção farmacêutica mostrou-se eficaz em ampliar o conhecimento da população sobre a dose diária recomendada e os alimentos ricos em vitamina D, além de identificar casos de hipovitaminose por meio de rastreamento laboratorial, permitindo o início imediato da suplementação terapêutica com as devidas orientações. Isso contribuiu para aumentar a confiança e a adesão ao tratamento após a avaliação médica. Ao educar a população sobre os fatores de risco para a deficiência de vitamina D, os programas farmacêuticos promovem mudanças positivas no estilo de vida, como a prática de atividades físicas e uma alimentação saudável. Ademais, conseguem abordar as principais causas de baixa adesão ao tratamento, como a percepção de inofensividade da condição e o longo intervalo entre as doses prescritas.
Produção de pavimento de concreto permeável a partir de resíduos de construção e demolição
Authors: Mendes Fabiana , Sellin Noeli
Published: November 2024

Visando a minimização dos problemas causados pela geração de resíduos de construção e demolição, neste estudo, foi desenvolvido um concreto permeável com agregados reciclados para aplicação em pavimentação em áreas de tráfego leve a moderado. O traço (cimento:agregado graúdo) utilizado foi 1:3, o fator água/cimento de 0,50 e as misturas de concreto permeável foram elaboradas com substituição de 20%, 40%, 60%, 80% e 100% do agregado graúdo convencional pelo reciclado, com 15% desse valor composto por parafina granulada como agente espaçador. A influência dos agregados reciclados e da parafina nas propriedades do concreto permeável foi avaliada considerando o material no estado endurecido por análise do comportamento mecânico (resistência à compressão axial, compressão por tração diametral e tração na flexão) e hidráulico (porosidade e permeabilidade). A substituição dos agregados naturais por reciclados ocasionou aumento na porosidade e no coeficiente de permeabilidade dos concretos, enquanto as propriedades mecânicas foram adversamente influenciadas. Os grânulos de parafina contribuíram com o aumento do coeficiente de permeabilidade. Os concretos com 20 e 40% de agregados reciclados apresentaram o melhor desempenho com relação às propriedades mecânicas. Os agregados reciclados apresentaram potencial para uso como pavimento permeável em áreas de tráfegos leve a moderado.
Development of Animated Video of Graha Maria Annai Velangkanni Spiritual Tourism Object in Medan
Authors: Royal Januari Naibaho
Published: November 2024

The purpose of this study was to make an animated video about Graha Maria Annai Velangkanni in Medan using Sparkol-Videoscribe by applying a 4-D creation model from Thiagarajan. The steps of this model are: (i) definition phase, (ii) planning phase, (iii) creation phase and (iv) deployment phase. Brochures, the official website of Graha Maria Annai Velangkanni Medan and interviews with Sr Angelina are used as data sources. This research was conducted at the Language Laboratory, Faculty of Languages and Arts, State University of Medan. The result of this production is an animated video made with Sparkol-Videoscribe. This video is 09:43 minutes long and is 388 megabytes long. This video is published on YouTube with https://youtu.be/AZ4Mw96mfrQ?feature=shared link and validated by material experts and media experts. The validator gave a score of 87.5 (good) to the material. Overall, the video received a score of 85.71 which was categorized as good by media experts. Therefore, it can be concluded that the animated video about Graha Maria Annai Velangkanni in Medan is valid and valid.
Promoting Sustainable Products: Community Engagement and Eco-Friendly Practices at Namira Ecoprint in Surabaya
Authors: Evanthi Ayundha , Ilham Hardi
Published: November 2024

The growing global concern for sustainability is particularly acute in the fashion industry, often viewed as a major contributor to environmental degradation. In response, eco-green products emerged, prioritizing sustainable practices and minimizing harm to the environment. To effectively market these products, it's crucial to enhance knowledge and skills in eco-green marketing. This community service program at Namira Ecoprint Surabaya aims to combine sustainability with effective marketing, raising consumer awareness about eco-friendly products and their benefits. This community service program has successfully raised awareness and understanding of effective marketing strategies, the advantages of sustainable products, and how eco-friendly products can stand out.
The Effect of Augmented Reality Virtual Try-On on Purchase Intention Mediated by Perceived Enjoyment (Study on Revlon Products in Denpasar City)
Authors: Mohamad Ardiansyah Wahyudin  , Aksari Ni Made Asti
Published: November 2024

This study aims to examine and explain the effect of augmented reality virtual try-on on purchase intention mediated by perceived enjoyment of Revlon products on Shopee. Using purposive sampling, this research was conducted on 130 women in Denpasar City who are cosmetic users and Shopee application users. Data collection was carried out through the distribution of questionnaires both offline and online via Google Forms. This study used path analysis techniques and the Sobel test. The findings indicate that augmented reality virtual try-on have a positive and significant effect on purchase intention and perceived enjoyment. Perceived enjoyment also has a positive and significant effect on purchase intention. Furthermore, perceived enjoyment can mediate the effect of augmented reality virtual try-on on purchase intention. If the virtual try-on feature effectively stimulates user engagement, it enhances the perceived enjoyment of the experience, which subsequently leads to a positive response in the form of increased purchase intention. It is recommended that Revlon ensure the color accuracy of the virtual try-on feature closely matches the actual product colors. Additionally, Revlon should consider providing feedback to Shopee to improve the feature's realism, detail, and interactivity.
The Mediating Effect of Organizational Citizenship Behaviour on Relationship Between Self Efficacy and Employee Performance
Authors: Sakti Ramalio Fahridho , Rini Hesty Prima
Published: November 2024

This study examined the impact of self-efficacy on employee performance, specifically through organizational citizenship behavior. The goal was to understand how these factors influenced employee performance, considering that work often went beyond job descriptions. The study used a quantitative approach, with the population drawn from the employees of PT SIER, and purposive sampling was employed to select participants from the Development and PIER Area divisions. Data were collected through a questionnaire based on indicators of each research variable and analyzed using SmartPLS software. The findings revealed that self-efficacy directly affected employee performance, while self efficacy has indirect influence on employee performance when through organizational citizenship behavior. Overall, this research highlighted the significance of enhancing employee self-efficacy to improve performance in the modern workplace.
Gen Z's Motivation and Challenges in Blitar for Running Family Business
Authors: Septiawan Bambang , Sudarmiatin Sudarmiatin , Rahayu Wening Patmi
Published: November 2024

This study aims to explore the motivations of Generation Z in Blitar in running a family business. Using a qualitative approach, data were collected through in-depth interviews with 25 respondents involved in family businesses. The results showed that their main motivations included responsibility for family tradition and heritage, the desire to achieve financial independence, and self-development. Despite significant challenges such as financial difficulties and competition, respondents showed resilience and innovation in overcoming obstacles. The strategies implemented included product innovation, digital marketing, and good financial management. These findings provide important insights into the role of Gen Z in family businesses and their implications for local economic development, as well as highlighting the need for support for entrepreneurship education and access to financial resources.
Optimizing Job Satisfaction Through Providing Incentives, Providing Work Facilities, and Leadership Style in CV MSMEs. Bima TKBM Services
Authors: Suprianto Suprianto , Sudarmiatin Sudarmiatin , Rahayu Wening Patmi
Published: November 2024

This research aims to analyze the factors that influence employee job satisfaction at CV MSMEs. Bima, with a focus on incentives, work facilities and leadership style. The background to this problem arises from the importance of job satisfaction in increasing employee productivity and retention. The method used was in-depth interviews with five employees from various backgrounds, including loading and unloading workers and supervision. The research results show that all informants agree that financial incentives really motivate them and contribute to family welfare. Work facilities such as BPJS health and work safety equipment are also considered important for comfort and safety. In addition, a democratic and open leadership style creates a positive work atmosphere, increasing motivation and satisfaction. Based on these findings, it is recommended that CV management. Bima continues to improve incentive policies, ensure adequate work facilities, and maintain a supportive leadership style. These steps are expected to increase employee job satisfaction, which will ultimately have a positive effect on overall company productivity and performance.
Budget Transparency and Accountability in Local Government
Authors: Dian Fathirah  , Nirwana Nirwana , Haliah Haliah
Published: November 2024

This study aims to evaluate the effect of budget transparency and accountability on local government performance, especially in public financial management. This study uses a literature review method by analyzing articles published in the last five years related to the topic of transparency and accountability in the public sector. The results of the study indicate that transparency and accountability play an important role in improving the effectiveness of budget management and the performance of local government employees. Performance-based budgeting has been shown to increase the efficiency of public resource utilization. However, there are challenges in budget absorption, especially at the end of the budget period.
Model of University Entrepreneurial Education Development Strategy for Preparing the Golden Generation Toward 2045: Islamic Entrepreneurship Perspective
Authors: Hendra Halim  , Fadhil Rahmat , Rahimi Sayyid Afdhal El
Published: November 2024

This study aims to develop entrepreneurial strategies based on sharia principles at Universitas Syiah Kuala to prepare students for Indonesia’s Golden Era 2045. Key concepts explored include sharia-based entrepreneurship education, curriculum reform, and business incubation. Using Soft Systems Methodology (SSM), the research identifies and implements changes through curriculum redesign, workshops, strategic partnerships, and the establishment of a sharia business incubator. Data collection involved surveys and interviews with students, faculty, and local business stakeholders over six months. The results indicate increased student engagement and business creation aligned with sharia values. These findings highlight the importance of integrating Islamic principles into entrepreneurship education, offering valuable insights for other universities seeking to develop similar programs.