bluuebunny/crossref_metadata_2025 huggingface dataset:
Irkçı Şiddetin Sessiz Ortağı Olmak: Kuru Beyaz Bir Mevsim'de Güney Afrika Apartheid Rejimini Yeniden Hatırlamak
Authors: Dora Serkan , Sadakaoğlu Mustafa C.
Published: March 2024

Bu çalışmanın ilgi odağında yirminci yüzyılın büyük bir bölümünde Güney Afrika’da yaşayan yerli halkları ırkçı sömürüye maruz bırakan Apartheid rejimine karşı verilen mücadeleyi konu alan sinema filmleri bulunmaktadır. Bu maksatla girişi takip eden bölümde, bölgenin keşfiyle başlayan ve doğal kaynaklarının sömürülmesiyle devam eden ırkçı rejimin taşlarının dizildiği tarihsel gelişmeler ele alınmaktadır. Diğer yandan sömürgeci ırkçılığın kurumsallaştığı yirminci yüzyılın ikinci yarısından itibaren yerli halklar ve muhalif hareketler tarafından rejime karşı verilen mücadeleye geniş olarak değinilmektedir. Bu çerçevede çalışmanın araştırma evrenine toplam altı sinema filmi dâhil edilmekte ancak rejime karşı verilen mücadeleyi dramatik anlatısının odağına koyması nedeniyle A Dry White Season (Kuru Beyaz Bir Mevsim, 1989) adlı sinema filmi çalışmanın araştırma örneklemi olarak incelenmektedir. Dolayısıyla amaçlı örneklem yöntemiyle belirlenen sinema filminin seçiminde, dramatik anlatının omurgasını oluşturan “beyaz kahramanın tanık olduğu bir dizi olay neticesinde güvenli alanından çıkması ve ırkçı şiddet ve sınıf sömürüsüne dayalı maddi gerçekliğin farkına varması” etkili olduğu söylenebilir. Böylece çalışmanın merak odağını oluşturan “kahramanın maddi gerçekliği mağdurun gözünden görmesiyle değişen tercihleri ve ırkçı şiddetin sessiz ortağı olmama mücadelesi” betimsel analiz yöntemiyle anlaşılmaya gayret edilmektedir. Çalışma neticesinde, sinemanın muhalif hareketler ve toplumsal değişim üzerindeki tayin edici gücüne dikkat çekilmektedir.
Object Based Classification in Google Earth Engine Combining SNIC and Machine Learning Methods (Case Study: Lake Köyceğiz)
Authors: KARAKUŞ Pınar
Published: March 2024

Köyceğiz Lake is one of our country’s most critical coastal barrier lakes, rich in sulfur, located at the western end of the Mediterranean Region. Köyceğiz Lake, connected to the Mediterranean via the Dalyan Strait, is one of the 7 lakes in the world with this feature. In this study, water change analysis of Köyceğiz Lake was carried out by integrating the Object-Based Image Classification method with CART (Classification and Regression Tree), RF (Random Forest), and SVM (Support Vector Machine) algorithms, which are machine learning algorithms. SNIC (Simple Non-iterative Clustering) segmentation method was used, which allows a detailed analysis at the object level by dividing the image into super pixels. Sentinel 2 Harmonized images of the study area were obtained from the Google Earth Engine (GEE) platform for 2019, 2020, 2021, and 2022,and all calculations were made in GEE. When the classification accuracies of four years were examined, it was seen that the classification accuracies(OA, UA, PA, and Kappa) of the lake water area were above 92%, F-score was above 0.98 for all methods using the object-based classification method obtained by the combination of the SNIC algorithm and CART, RF, and SVM machine learning algorithms. It has been determined that the SVM algorithm has higher evaluation metrics in determining the lake water area than the CART and RF methods.
Housing Price Prediction using Machine Learning Technique
Authors: Ranjith S  , Dr. Ganesh D
Published: March 2024

As house prices increase every year, so there is a need for implementing machine learning in a real estate to develop a model that predicts the current house prices. House prices prediction can help the developers to determine the estimated selling price of a house and can help the buyers to arrange the budget at the right time to purchase a house. There are many factors that influence the price of a house positively and some impact negatively such as the age of the house and include physical conditions, concept and location. This paper presents a model that can generate predictions for housing prices by training the system with a 2001 data set so that it can learn how to forecast the market price of the house based on certain factors which have already mentioned bellow. The connection between the houses costs and the economy of the nation is a critical factor for predicting house prices as housing prices trends are not only the concern of buyers and sellers, but it also plays major role in the current economic situation. Therefore, it is important to predict housing prices to help all the stack holders such as the buyers and the sellers to make their decisions accordingly. In order to select a prediction method, various regression methods were explored such as a multiple linear regression will be chosen for this research proposed work due to its Flexibility and probabilistic approach to learning and model prediction is very high.
Factors affecting the housing prices Including house age, longitude, latitude, number of rooms, number of restrooms, number of schools around the house, carports, parks, shopping centers, condition of the house, total number of floors a house has and other distinctive
Accurate and Efficient Security Authentication of IoT Devices using Machine Learning Algorithms
Authors: Alghamdi Ilham , Alzahrani Mohammad
Published: March 2024

The rapid proliferation of Internet of Things (IoT) devices has led to an increase in botnet attacks targeting these devices. A botnet attack is a cyber-attack in which a network of compromised devices, referred to as "bots" or "zombies," is utilized to execute a synchronized attack. These attacks can result in substantial harm to both the devices and the network to which they are connected. This study investigates the deployment of security authentication protocols to verify the identity of IoT devices prior to network connection. The study also evaluates the classification accuracy of four distinct supervised machine learning algorithms: Random Forest (RF), Naïve Bayes (NB), DecisionTree (DT), and eXtreme Gradient Boosting (XGBoost). It was foundXGBoost was the best performing classifier among the various machine learning algorithms tested, in terms of detecting botnet attacks in IoT networks using the Bot-IoT dataset.
The Relationship between Competency in Interpreting Data and Evidence Scientifically and The Academic Performance of Students in Biological and Physical Science Streams
Authors: Rathnayake B.R.M.A.S.M. , Senevirathne Walter
Published: March 2024

Despite the fact that appropriate decision-making is an essential ability in dealing with almost every circumstance in life, most people lack the competency in interpreting data and evidence scientifically, which is an important step in decision-making, resulting in negative consequences for individuals and society as a whole. Even though this is one of PISA’s three scientific literacy competencies, it is unclear if advanced-level science streams’ students in Sri Lanka have an adequate level of this competency. Therefore, this research investigated the relationship between the competency in interpreting data and evidence scientifically and the academic performance of students in the biological and physical science streams. The study was based on three specific objectives: identifying the importance of the competency in interpreting data and evidence scientifically for students in GCE (A/L), measuring the competency in interpreting data and evidence scientifically of students in biological and physical sciences, and investigating the relationship between their academic achievement and the competency in interpreting data and evidence scientifically. A descriptive one-shot cross-sectional survey was conducted using a quantitative research approach on 121, 13th grade students pursuing biological and physical science streams in six schools in Kandy Zone in Sinhala-medium. The sample was selected by a non-randomized convenience sampling method, and data was collected using a self-constructed test of competency in interpreting data and evidence scientifically, with a reliability coefficient of 0.672. Students’ first and second term marks were used to assess their academic performance. Data was analyzed using MS Excel and SPSS software, and correlation and regression analyses were performed. Both students of biological sciences (r = 0.719, n = 62, p = 0.000) and physical sciences (r = 0.783, n = 59, p = 0.000) exhibited a positive correlation between the competency of interpreting data and evidence scientifically and academic performance. Furthermore, for every point improvement in the competency in interpreting data and evidence scientifically, the academic performance score of biological and physical science students increased by 0.567 and 0.6609, respectively. Since the competency of interpreting data and evidence scientifically is necessary for student achievement, A/L science section teachers should adopt student centered instructional strategies and encourage active student engagement to enhance the competency of interpreting data and evidence scientifically.
Rinosinusitis crónica en fibrosis quística: una actualización
Authors: Fielbaum Colodro Oscar
Published: March 2024

En las últimas décadas, el tratamiento agresivo, protocolizado y realizado en centros multidisciplinarios de fibrosis quística (FQ), ha mejorado notablemente la sobrevida media de los pacientes. Como consecuencia, síntomas más bien secundarios, como los derivados del compromiso de la vía aérea superior, entre ellos la rinosinusitis crónica (RSC), con o sin pólipos nasales (PN), han empezado a impactar en la calidad de vida y en el curso de la enfermedad. Esto hace del diagnóstico y tratamiento oportuno de esta complicación un objetivo importante en el manejo de la FQ. El propósito de esta revisión es proporcionar una actualización sobre los aspectos diagnósticos y las terapias disponibles para el manejo de la RSC en pacientes con FQ.
ANÁLISE SWOT COMO FERRAMENTA EFICAZ NA AVALIAÇÃO DAS AÇÕES DA GESTÃO ESCOLAR
Authors: Da Silva Júlio César Câmelo , Lima José Jairo Santos , Júnior Hermócrates Gomes Melo , Pereira Adilson Lima , De Oliveira Maridenes Noronha
Published: March 2024

This study investigated the effectiveness of SWOT Analysis in assessing school management, identifying strengths, weaknesses, opportunities, and threats of an educational institution. The analysis was carried out in a high school in Ceará, with the aim of improving the actions of the management core. For this, a Systematic Literature Review (SLR) was used, consulting Scielo Brasil and Google Scholar and following the principles of SLR in the analysis of the results. School administration, recognized as an intricate process, required the coordination of various components to establish an efficient teaching environment. This encompassed the management of the institution’s resources, the application of educational policies, the supervision of the teaching staff and the team, interaction with parents and the community, and confirmation that students were progressing and developing effectively. The SWOT Analysis proved to be a valuable tool for school management, contributing to the improvement of the quality of education.
AS GERAÇÕES E A MODERNIDADE LÍQUIDA NO CONTEXTO EDUCACIONAL
Authors: De Lima Michael Fernandes , Carretero Jônathas dos Santos , Júnior Hermócrates Gomes Melo , De Macêdo Antonio Epitácio Soares , Quadrado Anair Meirelles
Published: March 2024

This theoretical study proposes an analysis of the behavior and experiences lived by different generations, with emphasis on the impact of these experiences on the formation of each group. It was observed that teaching underwent significant transformations throughout the generations, without establishing a standardized model, considering the training model to which teachers were subjected. The research addresses education in contemporaneity, reflecting on the role of educational institutions and educators in this context. The peculiarities of the generations of veterans, baby boomers, X, Y, Z, and alpha are explored, and their interaction with Liquid Modernity, a concept coined by Zygmunt Bauman. The methodology used consisted of a literature review, using Google Scholar and Scielo Brasil databases as sources. Generations are influenced by significant events that shape their personal and social interests. Liquid Modernity, characterized by its uncertain and unstable nature, imposes a constant need for reevaluation of educational practices. In this scenario, the role of the educator and educational institutions becomes paramount, especially when it comes to incorporating technological tools into the teaching-learning process. This process allows the student to take an active role in the construction of their knowledge, resulting in more critical and socially conscious individuals. The study aims to encourage educators to reflect on the use of technological tools in teaching, focusing on the centrality of the student in the construction of their own knowledge.
ŞEYH GÂLİB’İN ŞERH-İ CEZÎRE-İ MESNEVÎ’SİNDEKİ DER-BEYÂN-I AŞK U MESTÎ BÖLÜMÜNÜN İNCELENMESİ
Authors: Kadıoğlu İdris , Tünle Evin
Published: March 2024

Bu çalışmanın temel amacı, aşk konusunda önemli malzemeler içeren Mesnevî’nin mensur şerhlerinden birini incelemektir. Bu bağlamda Şeyh Gâlib’in Şerh-i Cezîre-i Mesnevî’sinin Der-Beyân-ı Aşk u Mestî bölümü incelenmiştir. İçine doğduğu kültür ve aldığı eğitimin de etkisiyle konusunu genellikle ilahi aşktan alan eserler yazan Mevlânâ Celâleddîn-i Rûmî’nin ünlü eseri “Mesnevî”ye birçok şerh yapılmıştır. Bunlardan biri de Yûsuf Sîneçâk’ın yazmış olduğu “Cezîre-i Mesnevî” dir. Üç yüz altmış altı beyitten oluşan eser farklı kişilerce şerh edilmiştir. Şârihlerden biri de Şeyh Gâlib’tir. Bu çalışmada Şerh-i Cezîre-i Mesnevî adlı eserin manzum mensur karışık yazılan Der-Beyân-ı Aşk u Mestî bölümündeki Mesnevî’den seçilmiş olan otuz dört beyit ve bir manzum hikâye incelenmiştir. Burada âşıklarda bulunması gereken haller, aşkın verdiği hüzün, sürûr ve aşkın saflığı gibi konular üzerinde durulmuştur. Topkapı Sarayı Müzesi’nde bulunan el yazması nüsha ile daha önce eser üzerinde yapılmış bir çalışmadan istifade edilerek metin oluşturulmuştur. Bu bölümle alâkalı okumalar ve dil içi çevirileri yapılmıştır. Çalışma bir giriş ve temelde iki bölümden oluşmaktadır. Giriş bölümünde Şeyh Gâlib’in eseri Şerh-i Cezîre-i Mesnevî üzerinde durulmuş, bu esere yazılan şerhler hakkında bilgi verilmiştir. Ayrıca Mesnevî’den seçilen ve bu eserde yar alan toplam Farsça 34 beyitin tercümesi yapılmıştır. Birinci bölümde eser şekil yönünden incelenmiş, yazarın istifade ettiği kaynaklar tespit edilerek yazılmıştır. İkinci bölümde eser muhteva yönünden incelenmiştir. Yazarın şerh yöntemi hakkında bilgiler sunulmuş, eserden seçilen beyitler üzerinde durulmuştur. Şairin “gül ve bülbül” konulu çift kahramanlı aşk destanı ayrıca incelenmiş ve yorumlanmıştır. Son olarak metinle ilgili bulgular üzerinde değerlendirmeler yapılmış, sonuç ve kaynakça yazılarak çalışma tamamlanmıştır.
INTEGRATING SUSTAINABILITY INTO HVAC PROJECT MANAGEMENT: CHALLENGES AND OPPORTUNITIES
Authors: Nwankwo Constance Obiuto  , Wisdom Ebirim  , Nwakamma Ninduwezuor-Ehiobu  , Emmanuel Chigozie Ani  , Kehinde Andrew Olu-lawal  , Ejike David Ugwuanyi
Published: March 2024

As environmental concerns continue to escalate, the integration of sustainability principles into project management practices has emerged as a crucial endeavor across various industries. In the realm of Heating, Ventilation, and Air Conditioning (HVAC) systems, where energy consumption and environmental impact are significant, the incorporation of sustainable practices presents both challenges and opportunities. This review provides an overview of the challenges and opportunities associated with integrating sustainability into HVAC project management. Challenges in integrating sustainability into HVAC project management stem from various factors, including technological limitations, cost considerations, and organizational barriers. Technologically, the adoption of sustainable HVAC solutions often requires investments in advanced equipment and systems, which may not always be readily available or affordable for all projects. Additionally, the upfront costs of implementing sustainable practices can be perceived as prohibitive, especially in industries where budget constraints are prevalent. Moreover, organizational inertia and resistance to change pose significant challenges, as stakeholders may be hesitant to deviate from traditional HVAC methodologies. Despite these challenges, there exist ample opportunities for integrating sustainability into HVAC project management. Advancements in technology, such as the development of energy-efficient HVAC systems and renewable energy integration, provide opportunities to reduce environmental impact while enhancing operational efficiency. Furthermore, the growing emphasis on green building certifications, such as LEED (Leadership in Energy and Environmental Design), incentivizes the adoption of sustainable HVAC practices by offering recognition and financial benefits to projects that meet stringent sustainability criteria. Moreover, the increasing awareness of environmental issues and regulatory requirements underscores the importance of integrating sustainability into HVAC project management. By aligning with regulatory standards and industry best practices, organizations can mitigate risks associated with non-compliance while enhancing their reputation as environmentally responsible entities. While challenges persist, the integration of sustainability into HVAC project management presents significant opportunities for organizations to mitigate environmental impact, enhance operational efficiency, and foster a culture of innovation. By addressing these challenges proactively and leveraging available opportunities, organizations can position themselves as leaders in sustainable HVAC project management.

Keywords: HVAC, Project Management, Challenges, Sustainability, Review.
STATISTICAL TECHNIQUES IN PRECISION METROLOGY, APPLICATIONS AND BEST PRACTICES
Authors: Adeniyi Kehinde Adeleke  , Danny Jose Portillo Montero  , Kehinde Andrew Olu-lawal  , Oladiran Kayode Olajiga
Published: March 2024

Statistical techniques play a pivotal role in precision metrology, ensuring accurate measurements and reliable data analysis in various industries. This review delves into the applications and best practices of statistical techniques in precision metrology, highlighting their significance in enhancing measurement accuracy, reducing uncertainties, and optimizing manufacturing processes. In precision metrology, statistical methods are employed to analyze measurement data, assess measurement uncertainty, and make informed decisions regarding process control and quality assurance. One of the fundamental applications of statistical techniques is in experimental design, where methodologies such as Design of Experiments (DOE) aid in optimizing measurement processes by identifying influential factors and their interactions. Moreover, statistical process control (SPC) techniques like control charts are widely utilized in monitoring and maintaining measurement processes within specified limits, thereby ensuring consistency and reliability in metrology operations. These techniques enable early detection of deviations or anomalies, facilitating timely corrective actions to prevent the production of non-conforming products. Furthermore, the application of statistical analysis in uncertainty evaluation is crucial for quantifying the reliability of measurement results. Techniques such as Monte Carlo simulation and GUM (Guide to the Expression of Uncertainty in Measurement) provide systematic approaches for assessing and expressing measurement uncertainty, considering various sources of error and their contributions to the overall uncertainty budget. In addition to applications, adopting best practices in statistical techniques is essential for ensuring the effectiveness and efficiency of precision metrology processes. This includes proper data collection, adherence to statistical assumptions, selection of appropriate statistical models, and interpretation of results with caution. Overall, this review underscores the importance of statistical techniques in precision metrology, emphasizing their role in improving measurement accuracy, reducing variability, and enhancing overall quality in manufacturing processes. By implementing robust statistical methodologies and adhering to best practices, organizations can achieve higher levels of precision, consistency, and reliability in their metrology operations, ultimately leading to improved product quality and customer satisfaction.

Keywords: Statistics, Precision Metrology, Best Practices, Application, Review.
PROCESS DEVELOPMENT IN MECHANICAL ENGINEERING: INNOVATIONS, CHALLENGES, AND OPPORTUNITIES
Authors: Adeniyi Kehinde Adeleke  , Danny Jose Portillo Montero  , Kehinde Andrew Olu-lawal  , Oladiran Kayode Olajiga
Published: March 2024

Process development in mechanical engineering encompasses a broad spectrum of innovations, challenges, and opportunities that drive advancements in various industries. This review delves into the multifaceted landscape of process development within mechanical engineering, highlighting key themes and trends. Innovations in process development are propelled by the continuous quest for efficiency, sustainability, and enhanced performance. Advances in additive manufacturing, automation, and digitalization have revolutionized traditional manufacturing processes, enabling the creation of complex geometries with unprecedented precision and speed. Additive manufacturing techniques such as 3D printing offer versatility in material selection and design freedom, facilitating rapid prototyping and customization while minimizing material wastage. Automation technologies, including robotics and AI-driven systems, optimize production workflows, augmenting productivity and reducing human error. Moreover, digital twins and simulation tools empower engineers to simulate and optimize processes virtually, accelerating product development cycles and minimizing costly experimentation. However, alongside these innovations, mechanical engineers face a myriad of challenges. The integration of new technologies often requires substantial investment in infrastructure and workforce training. Quality control and assurance remain critical concerns, particularly in additive manufacturing, where ensuring part integrity and repeatability is paramount. Furthermore, the sustainability implications of emerging processes must be carefully evaluated to mitigate environmental impact and resource depletion. Despite these challenges, process development in mechanical engineering presents abundant opportunities for growth and advancement. The rise of Industry 4.0 initiatives fosters collaboration between academia, industry, and government, driving research and development efforts towards sustainable and interconnected manufacturing ecosystems. The advent of advanced materials, including composites and biomaterials, unlocks new possibilities for lightweight structures, enhanced performance, and tailored functionalities. Additionally, the pursuit of circular economy principles promotes resource efficiency and waste reduction throughout the product lifecycle. In conclusion, process development in mechanical engineering is characterized by a dynamic interplay of innovation, challenges, and opportunities. By embracing emerging technologies, addressing key challenges, and leveraging collaborative partnerships, mechanical engineers can drive transformative change across industries, paving the way for a more efficient, sustainable, and interconnected future.

Keywords: Process, Development, Mechanical, Engineering, Innovation, Review.
A COMPREHENSIVE REVIEW ON AI-DRIVEN OPTIMIZATION TECHNIQUES ENHANCING SUSTAINABILITY IN OIL AND GAS PRODUCTION PROCESSES
Authors: Chuka Anthony Arinze  , Boma Sonimiteim Jacks
Published: March 2024

The oil and gas industry plays a pivotal role in global energy supply but faces increasing pressure to enhance sustainability amidst environmental concerns and economic constraints. This comprehensive review explores the integration of artificial intelligence (AI) in optimizing oil and gas production processes to achieve sustainability goals. The paper examines various AI-driven optimization techniques, including machine learning algorithms, genetic algorithms, and neural networks, and their application in different stages of oil and gas production, such as exploration, drilling, production, and distribution. By leveraging AI, operators can improve efficiency, reduce environmental impact, and maximize resource recovery. Furthermore, the review delves into specific case studies and implementations of AI-driven optimization in real-world oil and gas operations, highlighting their efficacy in minimizing greenhouse gas emissions, optimizing water usage, and mitigating operational risks. Additionally, the paper discusses challenges and limitations associated with AI adoption in the industry, such as data availability, model interpretability, and regulatory compliance. The integration of AI-driven optimization techniques not only enhances sustainability but also contributes to cost reduction and operational excellence in oil and gas production. By optimizing production processes, operators can achieve higher yields with fewer resources, leading to increased profitability and long-term viability in a rapidly evolving energy landscape. Overall, this review provides valuable insights into the transformative potential of AI-driven optimization techniques in fostering sustainability and resilience in oil and gas production processes, paving the way for a more efficient and environmentally responsible industry.

Keywords: AL, Oil and Gas, Production, Optimization, Sustainability, Review, Process.
HYBRID POWER SYSTEMS IN MINING: REVIEW OF IMPLEMENTATIONS IN CANADA, USA, AND AFRICA
Authors: Femi Oluwatoyin Omole  , Oladiran Kayode Olajiga  , Tosin Michael Olatunde
Published: March 2024

This comprehensive exploration delves into Hybrid Power Systems (HPS), investigating their components, technologies, economic considerations, environmental impacts, and technological challenges. Integrating renewable and traditional sources in HPS emerges as a transformative solution for sustainable energy. Economic analyses reveal initial costs offset by long-term benefits. At the same time, environmental impacts demonstrate a substantial reduction in greenhouse gas emissions and resource preservation. Technological challenges, including intermittency and system optimization, are addressed through advanced storage, smart grids, and microgrid technologies. The abstract concludes with recommendations emphasizing research, education, policy support, international collaboration, public awareness, and ongoing technological innovation. As HPS stands at the forefront of sustainable energy solutions, this comprehensive study navigates the complex terrain, offering insights and guidance for a future where HPS plays a pivotal role in a resilient, efficient, and environmentally conscious global energy landscape.

Keywords: Hybrid Power Systems, Renewable Energy, Sustainability, Technological Challenges.
SUSTAINABLE URBAN DESIGN: A REVIEW OF ECO-FRIENDLY BUILDING PRACTICES AND COMMUNITY IMPACT
Authors: Femi Oluwatoyin Omole  , Oladiran Kayode Olajiga  , Tosin Michael Olatunde
Published: March 2024

Sustainable urban design is a critical component in addressing the challenges posed by rapid urbanization and the increasing strain on natural resources. This paper provides a comprehensive review of eco-friendly building practices and their impact on communities within the context of sustainable urban design. The first section examines the various eco-friendly building practices that contribute to sustainable urban design. This includes the use of renewable energy sources, green building materials, and energy-efficient technologies. The integration of these practices not only reduces the environmental footprint of urban developments but also enhances the overall resilience of the built environment. The second part of the paper focuses on the community impact of sustainable urban design. It explores how these eco-friendly practices can foster a sense of community, improve residents' quality of life, and promote social equity. Sustainable urban design goes beyond environmental considerations; it embraces a holistic approach that prioritizes the well-being of the inhabitants. Furthermore, the paper delves into case studies and examples of successful sustainable urban design projects from around the world. These examples showcase the positive outcomes of implementing eco-friendly building practices, such as improved air and water quality, reduced energy consumption, and the creation of vibrant, walkable neighborhoods. In conclusion, this paper highlights the importance of sustainable urban design in addressing the environmental and social challenges associated with urbanization. By adopting eco-friendly building practices, communities can not only mitigate the impact on the environment but also create healthier, more resilient, and socially inclusive urban spaces. This review serves as a valuable resource for urban planners, architects, and policymakers seeking to promote sustainable development and enhance the overall well-being of urban communities.

Keywords: Urban Design, Eco-friendly, Building Practices, Sustainable Design, Review.
AI IN PROJECT MANAGEMENT: EXPLORING THEORETICAL MODELS FOR DECISION-MAKING AND RISK MANAGEMENT
Authors: Opeyemi Abayomi Odejide  , Tolulope Esther Edunjobi
Published: March 2024

This paper explores the transformative potential of Artificial Intelligence (AI) in personalized marketing. It highlights how AI can analyze vast amounts of customer data to create targeted messages, recommendations, and real-time interactions that resonate with individual needs and preferences. This personalized approach fosters deeper consumer engagement, leading to increased satisfaction, brand loyalty, and business success.  The paper discusses the future potential of AI in shaping personalized marketing experiences. However, responsible implementation will be paramount in ensuring a positive future for both brands and consumers. Enhanced version of the abstract incorporating additional insights, this paper delves into the transformative power of Artificial Intelligence (AI) in personalized marketing. It explores how AI algorithms can analyze a multitude of customer data points, including purchase history, website behavior, and social media interactions. This rich data empowers brands to create highly targeted messages, recommendations, and real-time interactions that resonate with individual customer needs and preferences. By fostering deeper consumer engagement, AI-powered personalization unlocks a pathway to increased customer satisfaction, brand loyalty, and ultimately, significant business growth. However, the paper acknowledges the ethical considerations that accompany AI implementation. Responsible data practices are paramount, ensuring data security and mitigating bias in AI algorithms to prevent discriminatory marketing practices. Transparency in how data is collected and used builds trust with consumers, fostering a mutually beneficial relationship. Looking ahead, the paper explores the vast future potential of AI in personalized marketing. Imagine AI-powered Chat bot offering personalized product recommendations in real-time, or virtual reality experiences tailored to individual preferences. The future of marketing lies in creating genuine connections with consumers, and AI provides the tools to personalize the customer journey at every touch point. However, navigating the ethical landscape and prioritizing responsible data practices will be crucial in ensuring a positive future for both brands and consumers.

Keywords: Artificial Intelligence (AI), Personalized Marketing, Customer Engagement, Customer Data, Marketing Strategy.
Unveiling the Lived Experiences of Tomboys: A Qualitative Study
Authors: Amin Saman , Baseer Amber , Shaheen Shagufta
Published: March 2024

The present study  explores  the  lived  experiences  of  tomboys. Phenomenology  research  design  was  used  for  this  study.  Six  participants  were  recruited  via  snowball  sampling.  Face-to-face  in-depth  interviews  were  conducted  to  collect  data. Thematic  analysis  was  done  to  analyze  the  data.  Four  major  themes  emerged  through  analysis  namely;  social  aspects,  psychological  aspects,  personality  factors,  and  gender  characteristics.  The  foremost  implication  of  this  research  is  in  social  welfare  by  creating  awareness  for  a  gender  minority  like  tomboys,  and  presenting  them  in  natural  light.  It  can  be  used  for  policy  making  by  public  and  private  institutions.  It  will  be  useful  for  both  institutional  and  private  counselors  to  understand  lived  experiences  of  tomboys  and  work  with  them  accordingly.  The  findings  of  the  research  can  be  used  by  human  rights  organizations  to  create  gender  equality  in  Pakistan.
PENERAPAN MEDIA SEJARAH LOKAL NILAI FILOSOFIS BANGUNAN RUMAH KAMPUNG ARAB 13 ULU DI SMA YWKA PALEMBANG
Authors: Setyawati Dewi , Fatmah Fatmah , Nurhayati Nurhayati , Rusdiana Yusinta Tia , Sari Dewi Purnama
Published: March 2024

Hal yang melatar  belakangi  dilakukannya pengabdian masyarakat ini  adalah  rendahnya minat belajar peserta didik pada pembelajaran Sejarah. Rendahnya motivasi    belajar    peserta    didik    terutama    pada    pembelajaran    Sejarah lokal mengakibatkan peserta didik malas untuk belajar Sejarah. Kemudian kurangnya media yang berbasis sejarah lokal yang dibuat Guru Sejarah. Selain itu adalah untuk menguatkan karakter siswa melalui Media berupa Banner nilai Filosofis Bangungan Rumah Kampung Arab 13 Ulu Palembang di SMA YWKA Palembang. Adapun metode yang digunakan dalam kegiatan pengabdian kepada masyarakat ini adalah pertama, melakukan persiapan awal mulai dari pengadministrasian ,kedua melaksanakan pemaparan materi atau penjelasan-penjelasan sesuai materi dan memberikan Media Banner yang tersedia, ketiga, melakukan revew intensif dengan pemahaman kepada seluruh peserta. Kemudian evaluasi kegiatan dari awal sampai akhir dengan memastikan semua peserta dapat memahami apa yang disampaikan kepada pemateri hingga penerapannya. Diharapkan dengan meyumbangkan materi dan media banner ini, Guru Sejarah di SMA YWKA Palembang dapat menerapkan kepada siswa-siswi di Sekolah tersebut untuk meningkatkan minat belajar sejarah lokal dan penguatan karakter siswa-siswi.
STRATEGI PENGEMBANGAN PEMASARAN DAN PEMBUKUAN PADA UMKM RISOL MAYO “CAK GENDUT”
Authors: Indra Puji Astuti  , Andy Febri Alexander  , Devi Citra Mayasari
Published: March 2024

Competition for jobs is so tight that opening your own business is an alternative way of choosing a livelihood. Micro, Small and Medium Enterprises (MSMEs) are the most strategic social economic sector and concern the livelihoods of many people, making them the backbone of the national economy. However, the problems faced by the Risol Mayo "CAK GENDUT" business or small industries are mostly sources of capital, labor, raw materials for industrial processing and marketing. This community service related to assisting MSMEs with the Risol Mayo snack type is expected to provide solutions for MSMEs.The practical methods used in this mentoring program are observation and interview methods. There is a mentoring program for recording financial reports. The program carried out is a management approach related to working hours that is structured in a period of ≤ 4 weeks, utilizing social media, delivery services with a minimum purchase of IDR. 20,000 as well as innovation in gift coupons so that orders are not only made on a conversion basis and communication is very good between mentors and partners in achieving mentoring goals. It is hoped that MSME players can accept changes in information technology very quickly. MSME players are advised to innovate more aggressively in terms of marketing to attract consumers.
PELATIHAN PENGEMBANGAN MEDIA PEMBELAJARAN BAHASA INGGRIS UNTUK ANAK-ANAK PADA GURU KKG BUNGO DANI
Authors: Oktavia Diana , Habibah Nur , Trisnawati Winda , Balti Levandra , Sartika Rahayu
Published: March 2024

Implementing the Merdeka Curriculum in elementary school motivates this community service program. The implementation of this curriculum highlighted English teaching in Elementary school. Based on the initial need analysis study, it was found that the Elementary schools in Bungo Dani need training in teaching media development to support teaching English to young learners. This training involved 25 Elementary school teachers as the participants. Those participants were introduced and trained to prepare and develop the teaching media.
Evaluación cuantitativa del riesgo: Relación entre internacionalización y crecimiento socioeconómico de la pyme española
Authors: Ditta Geoffrey , Arenas Falótico Andrés Jerónimo , Bayón Pérez Jessica
Published: March 2024

En el presente artículo se abordan los diversos cambios socioeconómicos que emanan del proceso de internacionalización. El propósito radica en demostrar y argumentar el potencial de las pequeñas y medianas empresas (PYMEs), las cuales ostentan una ventaja inherente a su flexibilidad, intrínseca a su tamaño. A través de un análisis empírico apoyado en los datos proporcionados por el Ministerio de Industria español, el presente documento ofrece una visión pragmática del estado económico de las entidades empresariales españolas. Globalmente, se contabilizan 3.000.000 de compañías que conllevan la generación de 11.000.000 de puestos de trabajo, mientras que un conjunto de 5.400 empresas de gran envergadura (con más de 250 empleados) aportan por sí solas más de 6.000.000 de empleos. Esto se traduce en un promedio de 3,7 empleados por PYME, en contraposición a los 1.111,5 empleados por empresa de gran tamaño. Los hallazgos de la investigación revelan que en la actualidad son escasas las empresas que han procurado mitigar su dependencia de los mercados locales. Asimismo, confirman que las empresas que experimentan un crecimiento económico tienen un impacto significativo tanto a nivel regional como internacional. Este efecto es particularmente notable en aquellas empresas que invierten en investigación y análisis del mercado. Se evidencia que una empresa crece en tamaño, sus ingresos también aumentan proporcionalmente, destaca que las empresas que se dedican a la exportación o que están internacionalizadas tienden a ser más grandes y productivas en comparación con aquellas que no participan en actividades de exportación.
Redes colaborativas horizontales en micro y pequeñas cadenas productivas de mercados emergentes
Authors: Alzate Rendón Isabel Cristina , Boada Antonio
Published: March 2024

La alta competencia a nivel mundial ha presionado a las organizaciones a adoptar nuevas estrategias, más aún en las micro y pequeñas empresas (Mypes) de economías altamente volátiles como las emergentes. El presente artículo busca reconocer los beneficios de las redes colaborativas horizontales y su interrelación con posturas teóricas como capacidades dinámicas de cadena de suministro y ecosistema de capacidades dinámicas. Para ello se estructura un protocolo haciendo uso de herramientas para la revisión sistemática de literatura como la metodología PRISMA, enfocándolo desde estudios seminales hasta aquellos alineados con estudios latinoamericanos de redes colaborativas. Los resultados obtenidos revelan que la integración que se genera entre Mypes de cadenas productivas altamente sensibles como las agroalimentarias puede aportar en la gestión del riesgo, distribuir costos y obtener beneficios económicos incrementando su poder de negociación frente a proveedores o canales de comercialización, gracias al uso y combinación de los recursos y capacidades que poseen los diferentes actores que se integran, mostrando la importancia que posee el fortalecimiento de un ecosistema de capacidades dinámicas, uso racional de los recursos y la construcción de redes colaborativas horizontales asegurando la sostenibilidad económica y desarrollo de ventajas competitivas, reconociendo finalmente el escaso avance de este tipo de redes en países emergentes y más aún en Colombia, justificando la necesidad de estudios y aportes en esta línea de investigación.
Estrategias de relaciones públicas y comunicación comunitaria en México: Un análisis constitucional y legal
Authors: Martínez Hernández Melissa Lizbeth , Mendiola Cortina Juan Alberto , Hernández Rangel Ma. de Jesús
Published: March 2024

La comunicación comunitaria y las relaciones públicas se han convertido en estrategias fundamentales para propiciar la participación ciudadana y el desarrollo social en las comunidades locales de México. El objetivo de la investigación fue analizar el marco constitucional y legal que regula actualmente en México el ejercicio de las relaciones públicas y la comunicación comunitaria, a fin de identificar sus principales obstáculos, avances y desafíos. La metodología utilizada se orientó de acuerdo con los criterios definidos en las directrices Prisma planteados por Moher et al, (2009), para la identificación, análisis y evaluación de revisiones sistemáticas de artículos científicos. Para concluir se identificó que la comunicación comunitaria en México se fundamenta legalmente en la Constitución Política de los Estados Unidos Mexicanos, la Ley Federal de Telecomunicaciones y Radiodifusión, la Ley Federal de Protección al Consumidor, las Normas Oficiales Mexicanas y el marco jurídico para redes comunitarias. El marco legal vigente presenta obstáculos para la implementación efectiva de estrategias comunicativas, comunitarias y de relaciones públicas con enfoque crítico y democratizador. Los desafíos a los que se enfrentan relaciones públicas y la comunicación comunitaria en México, entre ellos la desigualdad socioeconómica, la violencia y seguridad, la desconfianza en las instituciones, la polarización política y social, así como a la tecnología y medios sociales, mediante la difusión de información errónea y la falta de regulación con perspectivas referentes al enfoque en la autenticidad, la participación comunitaria, la diversificación de plataformas, entre otras.
Régimen tributario especial en organizaciones del sector social colombiano: análisis para su articulación al enfoque de economía circular
Authors: Santa Fajardo Laura Michel , Molina Castaño David Esteban , Fajardo Calderón Constanza Loreth
Published: March 2024

En el presente artículo se realiza una caracterización de las organizaciones del sector social en Colombia, entendidas como entidades sin ánimo de lucro, que pueden presentar calificación, actualización y readmisión al Régimen Tributario Especial, principalmente las ubicadas en la región del Eje Cafetero con base en sus tipologías y desarrollo de actividades meritorias. En cuanto a la metodología, se inspira en la estrategia de integración mixta que permite tener una visión más completa y matizada del fenómeno. A partir de los hallazgos obtenidos, se evidencia la afectación de las entidades del sector no lucrativo, ocasionado por los nuevos requisitos de control exigidos por la Dirección de Impuestos y Aduanas Nacionales de Colombia (DIAN) desde la reforma tributaria del 2016, que implicó una reducción progresiva de estas organizaciones en el régimen del 76% al 2017 y del 90% al 2022; y en la Región Cafetera que integra los departamentos de Caldas, Risaralda y el Quindío, generó que el 59% de sus entidades quedaran por fuera de la calificación perdiendo las tarifas impositivas especiales. Se logra concluir, que tanto la reforma, la falta de mecanismos de sostenibilidad y la exclusión en el discurso de circularidad para el sector de acción social, demuestran problemas con la gestión organizacional y fiscal de su actividad meritoria y manejo de excedentes.
Riesgo financiero y su impacto socioeconómico en empresas ecuatorianas
Authors: Caminos Manjarrez Walter Geovanny , Guerrero Arrieta Katherine Geovanna , Guashca Saguay Luis Fernando , Frias Bermeo Leggi Maribel
Published: March 2024

La investigación analiza el riesgo financiero y su impacto socioeconómico en empresas ecuatorianas, con el objetivo de comprobar el impacto del riesgo financiero que enfrentan las empresas en la sociedad y en la economía. Se empleó un estudio documental correlacional y se analizaron 19 empresas de la subrama de comercio mayorista. Los resultados indican que el 73% las empresas con una posición financiera sólida con una liquidez que oscila entre el 1 y 1.5, una gestión eficiente de activos y una rentabilidad sostenible son más propensas a invertir en el crecimiento de sus negocios y el 25% de las empresas en la remuneración de sus trabajadores, lo que puede tener un impacto socioeconómico positivo. Sin embargo, se destaca la importancia de buscar un equilibrio adecuado entre el crecimiento financiero y la inversión en capital humano para garantizar un crecimiento sostenible y beneficioso para la sociedad en su conjunto. Esto sugiere que, aunque el crecimiento financiero es esencial para el éxito de las empresas, también es importante considerar los impactos sociales y económicos a largo plazo, ya que una mala decisión puede ocasionar una pérdida considerable en la empresa.
Capacidad de innovación desde el modelado estadístico
Authors: Villalobos Escobedo Aglaé , Arieta Melgarejo Patricia , Vega Zárate César
Published: March 2024

La capacidad de innovación de un país contribuye a mejorar su posición competitiva, por lo que el objetivo de esta investigación es analizar la capacidad de innovación en México y su posicionamiento a nivel mundial. En metodología se realizó un análisis multivariado de análisis de clúster para clasificar 109 países en función al Índice de Competitividad Global, posteriormente a través del análisis de regresión lineal múltiple se diseñó un modelo estadístico de la relación funcional de México con respecto al constructo de capacidad de innovación. Los resultados derivan en una contribución significativa porque se realiza un mapeo de las economías clasificándolas en cinco clústeres y para el caso de México se obtiene un modelo de la capacidad de innovación explicada por cinco variables: población que usa internet, artículos científicos y técnicos, patentes, gasto en investigación y desarrollo en porcentaje del producto interno bruto e Investigadores. En conclusión, este artículo provee un panorama comparativo del desempeño de los países evaluados, además modela la capacidad de innovación de México. Estos hallazgos representan un diagnóstico para el diseño o mejora de las políticas públicas que fomenten la innovación y competitividad.
Proceso productivo aplicando el Value Stream Mapping en la industria del plástico
Authors: Martínez Cerón Alicia , Hernández-Gracia Tirso Javier , Duana Ávila Danae , Martínez Muñoz Enrique
Published: March 2024

La metodología Lean Manufacturing reúne una vasta gama de herramientas que todas las empresas incluidas las PYMES (Pequeñas y Medianas Empresas) pueden disponer para potencializar su competitividad y reducir los malos hábitos que generan desperdicios. El objetivo de este estudio es realizar un diagnóstico del proceso productivo en las industrias del plástico a partir de la herramienta Value Stream Mapping de los autores Rother y Shook (1999), con la finalidad de identificar las causas relacionadas con el desperdicio de material y aportar estrategias de mejora. El enfoque es cualitativo, apoyándose de la observación no participante para el estudio de tiempos y movimientos; y de la entrevista semiestructurada aplicada a trabajadores de la línea de producción para explorar la causa raíz de los desperdicios. Los resultados arrojan que el origen principal del desperdicio es el desconocimiento puntual de la ejecución de las tareas por el personal en al menos tres de cinco áreas del proceso. Se concluye con una propuesta del futuro del proceso de producción, a la vez que se apoya de las 5s.