bluuebunny/crossref_metadata_2025 huggingface dataset:
Challenges of Women Workers in Tea Plantation Industry
Authors: - NIROSHINI.V
Published: May 2024

Women workers and their role in the tea plantations have received relatively scant attention in plantation literature and women’s studies although they dominate the tea industry. Women workers are an asset and backbone of the tea industry, and despite their contributions women workers have always been relegated to the bottom strata and considered the most abundant and cheapest labour force rather than as a source of specialised labour. Workers still earn meagre incomes, suffer from levels of health care and personal well-being, lives entrapped in poverty and are cut off from the main stream. The entire spectrum of elements, which acts as a barrier to the equitable participation of women in development, ranges from education, training, health, cultural and social considerations. This paper deals with the participation of women in the workforce and the impact on their socio-economic life. It also examines the ways in which women workers are marginalized on multiple fronts: casualization of the workforce, upward occupational mobility and political space of trade unions.
A Study to Asses the Knowledge Regarding Torch Infection and Its Prevention among the Pregnant Women Attending Antenatal OPD, at Era Lucknow Medical College and Hospital
Authors: - NIRMALA NIGAM , - NAMITA ARYA , - ALI HASAN
Published: May 2024

Pregnancy is the most fascinating and delicate experience for a woman. Reproduction though considered to be a usual process in the life of a women, is stressful and can lead to the threats in reproductive age group women unless, appropriate measures are taken in time, it may reach its peak and endanger the life of mothers. The primary infections include TORCH infections an acronym of Toxoplasma, Other infections (like varicella, syphilis, hepatitis, Rubella, Cytomegalovirus and Herpes.
Research Paper Examining the Obstacles Encountered by Indian Authorities in the Investigation and Prosecution of White-collar Crimes, Supplemented by a Case Study of the Nirav Modi Scandal
Authors: - ANSHUL KULSHRESTHA , - SHILPA MEHROTRA
Published: May 2024

White-collar crimes pose significant challenges to law enforcement agencies worldwide, and India is no exception. This research paper explores the obstacles encountered by Indian authorities in investigating and prosecuting white-collar crimes, with a particular focus on the Nirav Modi scandal. Through an analysis of regulatory failures, legal complexities, institutional deficiencies, and systemic challenges, the paper sheds light on the complexities of combating financial fraud in India. Drawing lessons from the Nirav Modi case, the paper offers insights into the reforms needed to strengthen India's regulatory and enforcement mechanisms to prevent future white-collar crimes
Predicting Cyber Security Threats in The Digital Age: A Systematic Review and Analysis
Authors: - Eshaan Maheshwary , - Ayush Kumar Tiwari , - Vipul Kumar Thakur , - Darshan Kaur
Published: May 2024

Insider threats pose a significant challenge in securing today's digital economy, particularly within the convergence of Critical Infrastructure (CI) and Industry 4.0 applications. This study examines current trends, challenges, and algorithms for detecting and predicting insider threats. We analyse key issues such as data non-stationarity and collusion attacks. The paper proposes a model to address these challenges and evaluates its effectiveness. While the initial results show a 66% accuracy in terms of False Positive Rate (FPR), the study recommends doubling the training data size to further enhance the model's prediction accuracy. This research contributes to improved security solutions for safeguarding critical infrastructure in the era of Industry 4.0.
In today's digital world, even simple mistakes when using online systems can lead to cyberattacks with serious consequences. These consequences can include damage to an organization's reputation, financial losses, and disruptions to daily operations. This problem is especially concerning in developing countries. Researchers tackled this issue by building a machine learning model that predicts who might fall victim to cyberattacks. The model analyses social and economic data to identify key factors that make someone more susceptible. This model achieved a high level of accuracy by utilizing a sophisticated machine learning technique combined with an algorithm that discovers hidden patterns in data. To train the model, researchers collected information from both victims and those who haven't been attacked. They then employed a special technique to expand the data available for training, ultimately generating valuable insights that can help predict cyberattacks and the associated risks.
A Study on Unconscious Bias and Sexual harassment of subordinates create Negative Impact on the effeciency of the leadership of women leaders
Authors: - S BRINDHA
Published: May 2024

The quality of leadership is widely regarded as a factor influencing employee performance. Women's leadership journeys are extremely different from those of males. The discrepancies begin at birth since women are socialised so differently in India. They continue to confront hurdles in achieving workplace equality. Despite confronting hurdles, they have proven themselves at all levels of management. Gender bias, both conscious and unconscious, continues to pose significant impediments to women's leadership. According to studies, great leaders frequently demonstrate attributes that are more commonly associated with masculinity than femininity. Women with the same characteristics are labelled as "bossy," "stubborn," and "aggressive" due to people's inherent bias. When people operate on such bias, there is a lack of cooperation among female leaders. Women executives face ongoing problems at both the top and bottom levels, namely in demonstrating their leadership abilities. However, the purpose of my research is to demonstrate that the quality of leadership is determined by the behaviour of subordinates. Leaders may demonstrate their intelligence and talent only when their followers are prepared to receive it.
Mountain as Living Oracles of the Past and the Future in Mamang Dai’s Poem “The Voices of Mountains"
Authors: - Sarita Nahata
Published: May 2024

Northeast poetry refers to the rich and diverse literary tradition of poetry originating from the northern eastern region of India. Known for its cultural diversity, natural beauty, and vibrant traditions, the northeast is a home to a multitude of indigenous communities, each with its own unique language, customs, and folklore. Poetry from this region often reflects the cultural heritage, socio-political realities, and environmental concerns of the communities living in the region.
Another characteristic of Northeast poetry is the breathtaking landscapes and natural beauty of the northeast serve as a recurring theme in its poetry. Poets often draw inspiration from the lush forests, rivers, mountains, and valleys of the region, using vivid imagery and descriptive languages to evoke the sights, sounds, and sensations of the natural world.
The North-eastern poets stand as representatives of their entire community, and their poems are not singular, but they are voices of the inhabitants of the region. They explore themes of identity, belonging, and cultural heritage, reflecting the complex socio-political realities of the region. Poets address issues such as ethnicity, migration, displacement, and cultural assimilation, giving voice to the experiences and struggles of marginalized communities.
Overall, Northeast poetry offers a unique and richly textured literary landscape, showcasing the voices and perspectives of the diverse communities that call the region home. It serves as a testament to the resilience, creativity, and cultural richness of the North-eastern states of India.
Role of Music Therapy in Stress Reduction
Authors: - Deshna Chatterjee
Published: May 2024

This study aims to investigate the potential of music therapy as a stress reliever for young adults. Any unpleasant emotion or sensation, including strain and pressure, is referred to as stress. The clinical and evidence-based application of music interventions to fulfill specific goals within a therapeutic alliance by a qualified professional who has completed an approved music therapy program is known as music therapy. Music therapy mediations aim to improve well-being, reduce stress, ease pain, communicate emotions, improve memory, improve communication, and aid in physical recovery. A review of the literature demonstrates that music has a significant impact on a person's psychological state and lowers tension and anxiety.
Pengaruh ESG terhadap Kinerja Perusahaan: Moderasi Board Gender Diversity
Authors: Ulfa Siti Naziyatul , Rahman Annisaa
Published: May 2024

Company performance is a metric in assessing the level of success of a company in a certain period. to maintain good company performance, companies need to manage core business, namely building good relationships with stakeholders. For investors as stakeholders, the availability of information presented by the company is very important to decide on the right capital allocation and avoid the risks that occur. With the encouragement from the government and investors as stakeholders, more and more companies want to provide a clear picture of corporate practices and responsibilities, one of which is by disclosing environmental, social and corporate governance (ESG) aspects. The purpose of this study to provide empirical evidence regarding the influence of ESG on company performance, provide empirical evidence regarding the role of board gender diversity on the influence of ESG on the performance of companies listed on the Stock Exchange in Indonesia and Germany in 2018-2022. The sampling technique in this study was purposive sampling. Data was taken from Thomsonreuters and this study used panel data regression analysis with STATA 17. The results of this study found that ESG has no effect on company performance in Indonesia. The results of further research found that ESG has a negative effect on company performance in Germany. This study found that board gender diversity plays a role in encouraging ESG activities to improve firm performance in Germany.
A spatial version of the Stroop task for examining proactive and reactive control independently from non-conflict processes
Authors: Spinelli Giacomo , Lupker Stephen J.
Published: May 2024

Conflict-induced control refers to humans’ ability to regulate attention in the processing of target information (e.g., the color of a word in the color-word Stroop task) based on experience with conflict created by distracting information (e.g., an incongruent color word), and to do so either in a proactive (preparatory) or a reactive (stimulus-driven) fashion. Interest in conflict-induced control has grown recently, as has the awareness that effects attributed to those processes might be affected by conflict-unrelated processes (e.g., the learning of stimulus-response associations). This awareness has resulted in the recommendation to move away from traditional interference paradigms with small stimulus/response sets and towards paradigms with larger sets (at least four targets, distractors, and responses), paradigms that allow better control of non-conflict processes. Using larger sets, however, is not always feasible. Doing so in the Stroop task, for example, would require either multiple arbitrary responses that are difficult for participants to learn (e.g., manual responses to colors) or non-arbitrary responses that can be difficult for researchers to collect (e.g., vocal responses in online experiments). Here, we present a spatial version of the Stroop task that solves many of those problems. In this task, participants respond to one of six directions indicated by an arrow, each requiring a specific, non-arbitrary manual response, while ignoring the location where the arrow is displayed. We illustrate the usefulness of this task by showing the results of two experiments in which evidence for proactive and reactive control was obtained while controlling for the impact of non-conflict processes.
The standardization of a new Explicit Pornographic Picture Set (EPPS)
Authors: Prantner Sabine , Giménez-García Cristina , Espino-Payá Alejandro , Escrig Miguel A. , Ruiz-Padial Elisabeth , Ballester-Arnal Rafael , Pastor M. Carmen
Published: May 2024

Pictures with affective content have been extensively used in scientific studies of emotion and sexuality. However, only a few standardized picture sets have been developed that offer explicit images, with most lacking pornographic pictures depicting diverse sexual practices. This study aimed to fill this gap through developing a standardized affective set of diverse pornographic pictures (masturbation, oral sex, vaginal sex, anal sex, group sex, paraphilia) of same-sex and opposite-sex content, offering dimensional affective ratings of valence, arousal, and dominance, as well as co-elicited discrete emotions (disgust, moral and ethical acceptance). In total, 192 pornographic pictures acquired from online pornography platforms and 24 control IAPS images have been rated by 319 participants (Mage = 22.66, SDage = 4.66) with self-reported same- and opposite-sex sexual attraction. Stimuli were representative of the entire affective space, including positively and negatively perceived pictures. Participants showed differential affective perception of pornographic pictures according to gender and sexual attraction. Differences in affective ratings related to participants’ gender and sexual attraction, as well as stimuli content (depicted sexual practices and sexes). From the stimuli set, researchers can select explicit pornographic pictures based on the obtained affective ratings and technical parameters (i.e., pixel size, luminosity, color space, contrast, chromatic complexity, spatial frequency, entropy). The stimuli set may be considered a valid tool of diverse explicit pornographic pictures covering the affective space, in particular, for women and men with same- and opposite-sex sexual attraction. This new explicit pornographic picture set (EPPS) is available to the scientific community for non-commercial use.
Süleyman Demirel Üniversitesi Tıp Fakültesi Simüle Hasta Laboratuvarı
Authors: Kolcu Giray , Başer Kolcu Mukadder İnci
Published: May 2024

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Design of an Employee Recruitment System Based on the AHP-MOORA Algorithm Case Study of PT XYZ
Authors: Ripin Muhamad , Triayudi Agung , Ningsih Sari
Published: May 2024

The development of internet-based information technology has had a positive impact on human survival. One of the benefits of the Internet is support in building an employee recruitment system that is oriented towards good corporate governance. PT XYZ is a company that has been recruiting manually. Therefore, it is necessary to build an internet-based system for the employee recruitment process. This research uses the Analytical Hierarchy Process - Multi-Objective Optimization based on Ratio Analysis (AHP-MOORA) algorithm to determine the best applicants based on several criteria. The criteria used in this research are age, academic certificate, highest level of education, and work experience. The results of this study show that age and academic certification are priority criteria based on weight assessment using the AHP approach. Furthermore, five applicants became samples in application testing. The MOORA test results showed that three applicants had the highest scores. This research concludes that the application of the AHP-MOORA algorithm can provide objective results in determining applicants who meet the specified criteria.
Elderly Signature Identification Using HOG Method and K-Nearest Neighbors Classifier
Authors: I Kadek Nurcahyo Putra , Ni Putu Dita Ariani Sukma Dewi , Diah Ayu Pusparani , Dibi Ngabe Mupu
Published: May 2024

Signature is used to legally approve an agreement, treaty, and state administrative activities. Identification of the signature is needed to ensure the ownership of a signature so that things do not happen that harm the owner of the signature, such as forgery. In this study, the authors identified signatures for people over 50 years of age. The obtained signature is scanned to produce a signature image, the image is pre-processed so that it is ready for feature extraction that can characterize the signature image. The HOG method is used to perform feature extraction to produce a dataset that has 4,536 feature vectors for each signature image. The K-NN classification method is used to identify the signature image, the highest accuracy is obtained when using the value of K = 3, 4 which is 98.6%. The value of K = 7, 8, 10 obtained the lowest accuracy value of 96%. The decrease in accuracy from the highest to the lowest which is not significant shows that the dataset from feature extraction using the HOG method can characterize one signature ownership with other signatures quite well. The HOG method obtains a large feature vector for each signature, so it is recommended to optimize the feature extraction to reduce the feature size and speed up computing.
CARACTERÍSTICAS QUANTITATIVAS DE CARCAÇA DE CORDEIROS MORADA NOVA EM CONFINAMENTO ALIMENTADOS COM FENO DE LEGUMINOSAS
Authors: Pacheco Weverton Filgueira , Carneiro Maria Socorro de Souza , Pacheco Thais Valéria Souza Silva , Arruda Paulo César Lopes de , Silva Leane Veras da , Silva Filho Florisval Protásio da , Pegorini Reysi Jhayne , Moreira Gabriela Luz Pereira , Damasceno Josilda Cavalcante Amorim , Moreira Eduardo de Souza
Published: May 2024

As leguminosas forrageiras introduzidas no Nordeste apresentam elevado nível protéico e boa produtividade. Dentre elas, destacam-se a leucena (Leucaena leucocephala), e a gliricídia (Gliricidia sepium (Jacq.) Walp.), estas leguminosas arbóreas possuem crescimento rápido e enraizamento profundo, características que favorecem a tolerância durante prolongados períodos de seca. O estudo foi realizado com objetivo de avaliar os efeitos de dietas contendo diferentes níveis de feno de leucena (Leucaena leucocephala) e gliricídia (Gliricidia sepium (Jacq.) Walp.) em substituição do feno de capim-Tifton 85 sobre características quantitativas de carcaças de cordeiros Morada Nova mantidos em confinamento. Foram utilizados 20 cordeiros da raça Morada Nova, não-castrados, com peso vivo médio inicial de 16,36 ± 1,53 kg com aproximadamente 100 dias de idade. A distribuição experimental foi em delineamento inteiramente casualizado com cinco tratamentos e quatro repetições, sendo os tratamentos constituídos por uma dieta controle com 100% de feno de capim-Tifton 85 como volumoso e quatro dietas com 50% de feno de capim-Tifton 85 + 50% de feno de leucena; 100% de feno de leucena; 50% de feno de capim-Tifton 85 + 50% de feno de gliricídia e 100% de feno de gliricídia. Foram avaliados o peso corporal, peso corporal ao abate, peso da carcaça quente, rendimento da carcaça quente, peso da carcaça fria, rendimento da carcaça fria, rendimento biológico, pesos e rendimentos de cortes comerciais e medidas morfométricas de carcaça dos cordeiros. A utilização dos fenos de leucena e gliricídia na alimentação dos animais acarretou em diferenças entre os tratamentos para peso corporal ao abate, peso do corpo vazio, peso da carcaça quente, rendimento da carcaça quente, peso da carcaça fria e rendimento da carcaça fria, exceto no rendimento biológico, perda por jejum e perda por resfriamento de cordeiros. Observou-se diferenças para os pesos absolutos (kg) de meia-carcaça, peso de perna, paleta, lombo anterior, lombo posterior, costela, fraldinha e rendimentos (%) de lombo anterior, posterior e fraldinha. De acordo com o estudo, o feno de leucena pode substituir o de capim-Tifton 85 e o de gliricídia pode ser utilizado até o nível de 50% na alimentação dos ovinos sem prejudicar as características quantitativas de carcaça, além de consistirem em uma alternativa na alimentação de animais de corte em terminação.
INFLUÊNCIA DAS MÍDIAS DIGITAIS NO SEDENTARISMO: UMA REVISÃOSISTEMÁTICA
Authors: Bandeira Gabriel Ferreira , Onias João Vitor Dantas , Urtiga Anderson Melo , dos Santos Joama Ferreira , Ramalho Wannubya Caroline de Almeida Nobre , Silva Carlos Eduardo Leite , Melo Andrezza Lorrany de Figueiredo , Bonifácio Francisco Rafael Martins , de Abrantes Rony Dayton Gonçalves , Sousa Ruan Carlos Ismael de
Published: May 2024

RESUMO Objetivo: O objetivo desta pesquisa foi analisar a influência das mídias digitais no comportamento sedentário de adolescentes. Métodos: Trata-se de uma revisão sistemática de literatura, de caráter descritivo e qualitativo. Utilizando como base de dados o Google Acadêmico e uma combinação de palavras-chave, foi realizada uma síntese dos principais estudos de intervenção na temática em questão para posterior análise. A partir dos termos de busca foram encontrados 314 estudos, destes, 33 estavam relacionados a temática e foram selecionados para leitura na íntegra. Após análise, apenas 9 trabalhos atenderam aos critérios de inclusão e foram incluídos nos resultados. Resultados: Foi possível constatar que é crescente uso excessivo das mídias digitais por crianças e adolescentes no Brasil, tendo como consequência hábitos sedentários, além de outros entraves, como problemas psicossociais e doenças. Conclusão: Conclui-se que as mídias digitais influenciam no comportamento sedentário do público analisado e que é fundamental a participação destes em atividades físicas que proporcionem estilo de vida saudável.
IMPLANTAÇÃO DO PROGRAMA 5S EM UMA EMPRESA PRODUTORA DE EQUIPAMENTOS DO SETOR DE BELEZA
Authors: Ribeiro Guilherme Fernando
Published: May 2024

O Programa 5 S. foi desenvolvido no Japão, na década de 50, após a Segunda Guerra Mundial e atualmente, vem sendo muito utilizado pelas organizações. O Programa 5 S. engloba cinco sensos, o Seiri (Senso de Utilização), Seiton (Senso de Ordenação), Seiso (Senso de Limpeza), Seiketsu (Senso de Saúde) e Shitsuke (Senso de Autodisciplina). Diante do exposto, o presente estudo teve por objetivo descrever o processo de implantação do Programa 5 S. em uma empresa produtora de equipamentos de beleza, localizada na região Noroeste do Paraná. A implantação do Programa 5 S. foi conduzida por meio da metodologia da qualidade ciclo PDCA, adotando as etapas de Planejamento (foi elaborado um plano de ação utilizando a ferramenta 5W1H), Execução (Foram aplicados os Sensos de Utilização, Ordenação, Limpeza, Saúde e Autodisciplina, respectivamente), Verificação (realizou-se o monitoramento do Programa 5 S., após sua implantação) e Ação (os colaboradores foram orientados e outras medidas corretivas adotadas). Embora o Programa 5 S. demonstra ser uma metodologia simples, sua implantação exige dedicação por parte de todos da empresa, de modo que as mudanças realizadas sejam mantidas.
Crime Prediction Through Collaborative Analysis of Proximate Police Stations Data
Authors: Hongyon Siraswaya , Chongstitvatana Prabhas
Published: May 2024

Crime prediction is a crucial aspect of law enforcement strategies and crime prevention efforts. Machine learning has emerged as a valuable tool in crime prediction, allowing for more accurate and data-driven forecasting. In this study, we focus on forecasting the number of crimes at Pathumwan Police Station in Thailand. Utilizing criminal records from various police stations across Thailand, we employ the K-Means clustering algorithm to group police stations exhibiting similar crime patterns to the Pathumwan Police Station. The clustering results reveal that Wang Thonglang, Nang Loeng, Dusit, Bang Sue, Thung Maha Mek, Samre, Sutthisan, Pak Khlong San, Bangkok Yai, Bangkok Noi, Makkasan, Bang Yi Ruea, and Talat Phlu Police Station are clustered together with Pathumwan Police Station. Subsequently, we apply the Long Short-Term Memory (LSTM) model to forecast crimes at Pathumwan Police Station. The training dataset comprises paired data from police stations within the same cluster as Pathumwan Police Station. Our findings indicate that combining data from Wang Thonglang, Nang Loeng, Dusit, Bang Sue, Thung Maha Mek, Samre, Sutthisan, Pak Khlong San, Bangkok Yai, Bangkok Noi, Makkasan, Bang Yi Ruea, and Talat Phlu Police Station with Pathumwan Police Station results in lower errors in Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE) compared to using only Pathumwan Police Station data. This collaborative approach enhances the accuracy of crime prediction models and contributes to more effective law enforcement strategies.
Membranous nephropathy: genetics, antigens and antibodies
Authors: Courville Karen , Bustamante Norman
Published: May 2024

Membranous nephropathy is a kidney disorder characterized by thickening of the glomerular basement membrane, that causes nephrotic syndrome. It can be caused by various underlying conditions that result in damage to the filtering units of the kidneys, known as nephrons, producing massive proteinuria, hypoalbuminemia, edema and hyperlipidemia.  Between 30 to 40% of cases of nephrotic syndrome in adults are due to membranous nephropathy.
In recent decades, progress has been made with the discovery of antigens, antibodies and genes involved in the pathophysiology of the disease and a new classification system has been proposed. The presence of antigen-antibody complexes together with genetic factors may influence the susceptibility to such immune dysregulation, and states new information in a what was known between the etiologies of primary and secondary causes.
The understanding of the antigens involved in membranous nephropathy is an area of active research, and additional antigens may be identified as our knowledge of the disease continues to evolve. This article summarizes some concepts and recent findings made on this topic.
Unmasking Phishing Threats through Cutting-Edge Machine Learning
Authors: Jyothi A Naga , Mallika Chimmili , Jahnavi Veliganti , Siva Naga Chintalapati , Varma Adithya , Chandra Shekar Kasani , Sai Nirmal Chitturi
Published: May 2024

Website phishing has shown to be a serious security risk. Phishing is the starting point for many cyber attacks that compromise the confidentiality, integrity, and availability of customer and business data. Decades of effort have gone into developing innovative techniques for automatically recognizing phishing websites. Modern systems aren't very excellent at spotting fresh phishing attacks and require a lot of manual feature engineering, even though they can produce better outcomes. Thus, an open problem in this discipline is to identify tactics that can swiftly handle zero-day phishing attempts and automatically recognize phishing websites. The web page that is hosted at the given URL has a lotof information that can be utilized to assess the maliciousness of the web server. Machine Learning is a useful technique to identify. Here, we describe the characteristics of phishing domains, also known as fraudulent domains, what sets them apart from real domains, the significance of detecting these domains, and how machine learning may be used to detect them.
Evaluatıon of Toll Traffıc Revenue based on VOC and VOT Method on Bengaluru – Mysuru Natıonal Hıghway (NH-275)
Authors: Kumar K. Vineeth , M. Patel Nithin , P. Abhishek , J. S. Vishwas
Published: May 2024

Through this project report intend to bring about an economical analysis of BengaluruMysuru Expressway (NH-275) which is a stretch of 117km, constructed under Bharatmala Pariyojana (BMP) phase -1. For this economical analysis of Traffic Characteristics various study were performed. Using the studied data various estimations like liner regression method were performed for Traffic forecast (future Traffic), by traffic volume count data Average Daily Traffic (ADT) and Annual Average Daily Traffic (AADT) were considered. Estimation of Value of Time (VOT) by empirical method and evaluation of Vehicle Operating Cost (VOC) by Portuguese Road User Cost (RUC) model were used to Comparing of Toll price with VOT (Value of Time) and VOC (Vehicle Operating Cost). Revenue and Expenses from toll plaza were calculated and arrived that the company would gain profit. For the estimation of Traffic forecasting we had to study liner regression method. All the calculation made are approximate and not exact.
Blockchain based Decentralized Application
Authors: Patil Vedant , Parkhe Ankit , Mali Parth , Kale Anil
Published: May 2024

This research article provides an overview of business applications (DApps) in the context of blockchain innovation. It includes the definition, structure and classification of DApps, highlighting their focus and challenges. It also examines the importance of distribution, security, user participation, flexibility, collaboration, and governance in DApp development. The article also examines smart contracts, protocols, APIs, and independent independent organizations (DAOs) when implementing DApps. Overall, it highlights the importance of blockchain innovation in this field, offering some information and advice to designers and partners interested in creating DApps.
Cyber Security Awareness and Educational Outcomes of Grade 4 Learners
Authors: B. Manalo Maria Lolita , D. Gallardo Remigilda
Published: May 2024

This study investigated the relationship between cybersecurity awareness and educational outcomes among Grade 4 learners. The research aimed to assess the extent of cybersecurity awareness and its influence on critical thinking, responsible online behavior, and ethical use of digital resources. A descriptive correlational research design was employed, involving Grade 4 students from an elementary public school in Davao City, Philippines. The studentswere selected through random sampling. Data were collected using a validated survey questionnaire adapted from previous research studies. The results revealed a significant positive correlation between cybersecurity awareness and educational outcomes (r = 0.685, p < 0.05). Indicators of cybersecurity awareness significantly influencing educational outcomes include willingness to report suspicious activity, knowledge of online safety practices, ability to recognize common cyber threats, and use of secure online practices. The findings highlight the importance of integrating cybersecurity education into the curriculum to enhance both cybersecurity awareness and educational achievements among Grade 4 learners. Future research may explore the long-term effects of cybersecurity education and expand the scope to different age groups and contexts. This study contributes to the understanding of the potential benefits of cybersecurity education in shaping responsible digital citizens and improving educational outcomes.
Decentralized Mobility Solution: Blockchain Enhanced Peer-to-Peer Transportation
Authors: Mali Akash , Patil Abhay , Mesharam Rajat , Bagade Shreyash , Bhojne N.G.
Published: May 2024

In today's rapidly evolving urban transportation landscape, the demand for efficient, decentralized mobility solutions is paramount. This research presents a comprehensive framework for a Blockchain-enhanced peer-to-peer transportation system. Drawing inspiration from various research papers, four pivotal modules are integrated to ensure a holistic and efficient approach to mobility. Firstly, the Blockchain Integration Module enables secure, transparent, and decentralized transactions, fostering trust and accountability. Secondly, the User Interface Module enhances user experience by providing an intuitive interface tailored to diverse urban settings. Thirdly, the Computational Module optimizes transportation aspects such as route planning and demand forecasting. Lastly, the Ride Allocation Module orchestrates efficient and equitable ride assignments based on user preferences and real-time conditions. Together, these modules offer a resilient and user-centric peer-to-peer transportation system, leveraging cutting- edge technologies and insights from existing studies to transform urban mobility.
Factors Influencing the Use of Improved Maize Seed and Participation in the Seed Demonstration Program by Smallholder Farmers in Kwali Area Council Abuja, Nigeria
Authors: Okikioluwa Aderinsoluwa Dotun-Odumade , Jung Shin Hio
Published: May 2024

This study identified the factors influencing the use of improved maize seeds by the smallholder maize farmers and their participation in the National Agricultural Seeds Council (NASC) seed demonstration program (SDP) in the Kwali area. A multistage sample strategy was utilized to obtain 250 cross-sectional data from nine wards (rural settlements) in the study area. The data was analyzed using linear and logistic regression models. The estimation results from the linear model revealed that total farm size and participation in NASC Seed demonstration program significantly influenced the likelihood of smallholder farmers using improved maize seeds in the study area. The logit model indicates that household income and well-being influenced the likelihood of smallholder farmers’ participation in the NASC seed demonstration program. Therefore, the study recommended that the federal government and policymakers should formulate and implement policies and interventions to encourage the use of improved maize seeds in Nigeria.
Influence of Economic Dimension Strategy on Organizational Image of Kisumu Heart Hospital
Authors: Makena Faith , Gulali Donald
Published: May 2024

Corporate Social responsibility (CSR) is becoming an increasingly significant component of many firms’ strategic planning decisions. Statistics shows that more than 80% of health sector organizations in Kenya don’t seem to realize the importance of Corporate Social Responsibility. Among the approximately 20% that do understand the significance of corporate social responsibility, only 2% strive to implement it owing to a number of reasons. This has left a negative perception and bad image to the organizational stakeholders involving the patients, shareholders and the staff, sometimes leading to low profitability. This is evident despite the fact that success of a company is measured by its contribution to society. Most studies have shown both positive and negative relationship or failed to clarify impacts of corporate social responsibility of organizational corporate social responsibility on its image. None of the studies has also specifically shown how adoption of economic, environmental and social dimension strategies have impacted on organizational image of Kisumu heart Hospital. The main objective of this study was therefore to investigate the influence of economic dimension strategy on organizational image of Kisumu heart hospital. Study was anchored stakeholder theory. The study adopted correlational research design. The population of the study comprised of a total of 400 outpatients, inpatient and employees. The study adopted stratified random sampling and the sample size was 196 respondents. Primary data was used which was collected through questionnaire. Data was analysed using both descriptive and correlation statistics specifically Pearson Product Moment Correlation and Simple linear regression Model. The findings revealed that Economic dimension strategy has a positive and significant effect on corporate image (B=.132, p<.05. It was concluded that corporate social responsibility has a positive and significant effect on corporate image of Kisumu heart hospital. The study however recommended improving both economic dimension strategy The study may also inform the stakeholders in the health sector on the importance of CSR on the organizational image and growth.
Music Genre Classification
Authors: Swathi Y. , Snigdha N. , Akhila I. , Sowmya M. , Balaji M.
Published: May 2024

The Music Genre Classification model automatically divides music into different genres using a small number of audio files and a range of musical attributes. This topic is highly relevant to the field of music information retrieval since it provides a way to organize and analyze large amounts of music files. For MGC, standard machine learning techniques such as SVM, KNN, Decision trees, and neural networks can be applied. These algorithms are trained to recognize different musical qualities and traits, which allows them to categorize the audio files into different genres. Numerous applications show that deep learning algorithms—such as CNN, ANN, and others—perform better than conventional machine learning algorithms. Consequently, the CNN method is adjusted to perform the categorization of music files. This classifies musical genres using deep learning methods from CNN. To evaluate the effectiveness of the MGC algorithms, accuracy is used. Moreover, the impact of different algorithms on MGC performance can be compared and studied. It can be applied to automated music recommendation systems, music production, and music education.
Nanotechnology in Medicine: A Paradigm Shift
Authors: G Gandawa
Published: May 2024

Nanotechnology, operating at the molecular and atomic scale, has revolutionized the field of medicine. In this paper, we delve into the multifaceted role of nanotechnology, spanning diagnostics, drug delivery, and tissue regeneration. Our discussion encompasses current applications, existing challenges, and promising prospects, all underscored by the profound potential impact on healthcare.
Meaninful learning of stereochemistry using medicinal plants as contextualization through a virtual learning environment platform
Authors: Rockenbach Lara Colvero , Raupp Daniele Trajano , De Andrade Neto Agostinho Serrano
Published: May 2024

Objetivamos neste trabalho relatar a elaboração e aplicação de uma Unidade de Ensino Potencialmente Significativa (PMTU), para o ensino de estereoquímica utilizando o Google Sala de aula como Ambiente Virtual de Aprendizagem. A atividade ocorreu durante o período de suspensão das aulas presenciais, em função da pandemia do novo coronavírus. Participaram do estudo estudantes do Ensino Médio da região Central do Rio Grande do Sul. Alicerçada na teoria de aprendizagem significativa ausubeliana, uma PMTU objetiva superar a forte dependência da memorização mecânica, promovendo situações que utilizam os conhecimentos prévios dos alunos como ponto de partida para o ensino de conceitos científicos. Assim, essa unidade abordou a estereoisomeria com foco em plantas medicinais. Partindo da seleção de espécies que apresentam, em seus princípios ativos, enantiomeria ou diastereoisomeria e que podem ser compreendidas por meio da perspectiva da estereoquímica, a proposta foi desenvolvida integralmente por meio de um ambiente virtual de aprendizagem e diferentes recursos didáticos tecnológicos. Justifica-se o desenvolvimento dessa proposta devido às dificuldades de aprendizagem no campo da estereoisomeria, apontada como um tópico desafiador da Química Orgânica, devido ao nível de abstração para a visualização tridimensional de moléculas e a compreensão da influência da estrutura nas propriedades e reatividade, desafio potencializado pela suspensão das aulas presenciais. Os dados coletados ao longo do processo indicam que a PMTU propiciou a participação dos discentes por meio do uso de diferentes recursos, auxiliando na superação da problemática de abordar remotamente o conceito, com evidências de aprendizagem significativa da temática e conceitos científicos.
Mágico-vitalismo, alquimia e outras visões de mundo: um breve estudo histórico sobre concepções de matéria até o século XVI
Authors: Lorenzetti Cristina Spolti , Raicik Anabel Cardoso , Peduzzi Luiz Orlando de Quadro
Published: May 2024

A história da ciência é um corpo de conhecimento plural, não apenas pela sua intrínseca amplitude teórica, reflexiva e metodológica, como também pelo seu complexo e diversificado objeto de estudos: a ciência. A construção de simples preâmbulos históricos que contam apenas as narrativas daqueles que tiveram seus resultados perpetuados é uma pseudo-história, que exclui saberes e estudiosos que, direta ou indiretamente, participaram da construção de conhecimentos. No que se refere a história dos estudos sobre a matéria, desde os gregos antigos, com os mais tenros registros de ciência, é possível encontrar escritos que dissertam sobre a constituição do mundo. Da mesma forma que os alquimistas tinham suas próprias maneiras de entender a matéria. Nesse sentido, este artigo sumariza algumas visões de elemento/matéria que estiveram presentes na Grécia Antiga e que permearam a alquimia árabo-europeia na Idade Média. Além disso, apresenta discussões acerca da visão mágico-vitalista, principalmente a partir do Renascimento, com o intuito de evidenciar como concepções desenvolvidas pelos estudiosos, ancoradas nessa corrente filosófica, foram essenciais para o entendimento de matéria naquele período e para a construção de um contexto que possibilitou o surgimento, no século XVII, de um conceito de elemento no período da ciência moderna. Por fim, são apresentadas implicações ao ensino de ciências.
A formação inicial de professores de ciências biológicas: análise da abordagem do tema degradação ambiental e novas epidemias
Authors: Fisch Andrews , Schnorr Samuel Molina
Published: May 2024

Nos últimos anos, o debate em torno da degradação ambiental e do surgimento de epidemias tem ganhado destaque, promovendo uma reflexão sobre como as ações humanas influenciam os ciclos naturais e podem desencadear doenças. A formação inicial de professores de Ciências Biológicas se revela crucial nesse contexto, visando abordar tais questões em sala de aula. Este estudo investigou como essa formação é conduzida na Universidade de Brasília, analisando a presença do tema nos documentos curriculares e nas práticas pedagógicas dos professores. Utilizando uma abordagem qualitativa, foram examinadas a Base Nacional Comum Curricular (BNCC), o Currículo em Movimento do Distrito Federal, ementas de disciplinas pertinentes e entrevistas com docentes. Além disso, um questionário foi aplicado aos estudantes de licenciatura em Ciências Biológicas, buscando compreender como o tema é abordado em sua formação. Os dados foram analisados conforme a natureza das perguntas: as questões fechadas foram analisadas por estatística descritiva, enquanto as questões abertas foram submetidas à análise de conteúdo. Os resultados indicam uma consciência geral sobre a importância da interconexão entre degradação ambiental e epidemias, porém revelam uma formação inicial insuficiente para lidar de maneira aprofundada e conectada com tais questões. Os documentos educacionais não abordam diretamente o tema, o que pode resultar em uma percepção equivocada de sua relevância. Diante disso, torna-se necessário superar abordagens tecnicistas, capacitando os futuros professores como agentes de transformação social e promovendo uma discussão crítica e interdisciplinar que integre diferentes áreas do conhecimento.
Aprendizagem significativa crítica no ensino-aprendizagem de matemática via resolução de problemas sob o olhar de licenciandos
Authors: Mendes Luiz Otavio Rodrigues , De Oliveira Ana Beatriz , De Proença Marcelo Carlos
Published: May 2024

O objetivo do artigo é analisar quais princípios da Aprendizagem Significativa Crítica (ASC) são evidenciados por licenciandos sobre o Ensino-Aprendizagem de Matemática via Resolução de Problemas (EAMvRP). Para tanto, um processo de formação foi desenvolvido com 23 acadêmicos de uma universidade pública do Paraná. Primeiro, discutimos sobre os 11 princípios da ASC e, posteriormente, trabalhamos o ensino do conteúdo de ponto crítico, do Cálculo Diferencial e Integral, na abordagem do EAMvRP. Um questionário foi aplicado aos estudantes para relacionarem os princípios da ASC com as ações do EAMvRP. Os resultados revelam que os princípios foram evidenciados em maior grau nas ações em sala de aula, sobretudo na introdução do problema e no auxílio aos alunos durante a resolução. A pesquisa revelou que o EAMvRP tem potencial para propiciar os princípios da Aprendizagem Significativa Crítica, especialmente o princípio da não utilização exclusiva do quadro de giz. No entanto, o princípio do conhecimento como linguagem não foi observado pelos licenciandos, indicando a necessidade de explorá-lo em pesquisas futuras.
Gestão de risco: técnica de suporte à tomada de decisão do gestor público visando o desenvolvimento econômico e social
Authors: Ortigara Leandra Maria , Razzolini Filho Edelvino
Published: May 2024

Apresenta o tema gestão de risco e como esta ferramenta pode auxiliar os gestores públicos na tomada de decisão. Propõe demonstrar como a gestão de risco, baseada em controles internos, pode qualificar a tomada de decisão dos administradores públicos, posto que uma adequada gestão de riscos aumenta a possibilidade de atingir os objetivos além de melhorar a eficácia e a eficiência operacional. Para tanto, realizou-se uma análise de percepção nas Instituições Federais de Ensino: UFPR, UTFPR e IFPR, mediante análise documental, pesquisa bibliográfica e aplicação de questionários estruturados. Estes foram elaborados com base no modelo COSO-II, destinados aos pró-reitores de planejamento e administração, aos chefes das auditorias internas e aos gestores de gestão de risco e governança das IFE estudadas. Os resultados apontam que quando a instituição possui controles internos eficientes e efetua a gestão de riscos, a instituição melhora a prestação de serviços, usa recursos de maneira mais eficiente, mitiga erros e retrabalhos, coíbe a fraude e os desvios, e proporciona arranjos adequados para que as instituições possam lidar com as adversidades norteando a tomada de decisões. Percebe-se, portanto, um incremento da racionalização administrativa, da produtividade do trabalho e do controle sobre os atos da gestão pública.
Rumo a uma cidade inteligente? Um olhar sobre a proposta do bairro inteligente “Vila A” em Foz do Iguaçu
Authors: Baumgratz Deise , Melo Edson Santos , Eidt Eloa Júlia de Cezaro , Garbin Murilo Henrique , Da Silva Christian Luiz , Ditzel Gilson
Published: May 2024

O artigo tem por objetivo promover reflexões sobre o programa Vila A Inteligente, engendrado no município de Foz do Iguaçu/PR e rotulado como o primeiro bairro inteligente do Brasil. Para tanto, adotou-se como procedimento metodológico uma abordagem qualitativa e exploratória, somada a uma pesquisa documental e entrevistas semiestruturadas com atores envolvidos no projeto. Entre as conclusões, ressalta-se a alteração na governança local e o elevado número de propostas de soluções voltadas à dimensão tecnológica, principalmente em segurança e mobilidade. Porém, mesmo com a presença de um representante da comunidade na gestão do projeto, ainda muitos no bairro o desconhecem em sua totalidade, o que em parte acentua a preocupação dos residentes com o futuro do bairro.
O modelo de distanciamento social controlado no Rio Grande do Sul: análise do primeiro ano de implementação da política de prevenção à COVID-19 no município de Santa Cruz do Sul - RS
Authors: Stavizki Junior Carlos , Faccin Carolina Rezende , Silva Paulo Jorge Riss da
Published: May 2024

Este trabalho apresenta considerações sobre a eficácia da estratégia de prevenção da Pandemia de COVID-19 implementada pelo estado do Rio Grande do Sul - Modelo de Distanciamento Controlado (MDC) -, no município de Santa Cruz do Sul. Analisou-se os dados epidemiológicos da pandemia no território, os índices de isolamento social e a ocupação dos serviços hospitalares, durante às 50 semanas, desde o início dos protocolos do MDC no estado. Considerou-se, para fins de análise, os relatórios semanais publicados pela Secretaria Estadual de Saúde do RS; dados epidemiológicos da pandemia publicados pelo Ministério da Saúde e os dados coletados pelo Observatório do Desenvolvimento Regional (ObservaDR). Constatou-se que o MDC reduziu a circulação de pessoas e mitigou o número de casos no município, até dezembro de 2020, porém não impediu o aumento exponencial dos casos em 2021. Conclui-se que o conflito de informações entre estado e município e o relaxamento das medidas de isolamento social contribuíram para o aumento de casos e mortes por COVID-19 no território.