bluuebunny/crossref_metadata_2025 huggingface dataset:
Role of Program Diversification in Shaping Student Enrollment Decisions in Higher Education
Authors: Fauzi Rizki , Fathurrahman Hanif Zirly , Rahmawati Linda , Nandang Nandang , Fauziyah Azizah
Published: January 2025

In the current era, technological advancements significantly influence consumer attitudes and behaviors regarding the selection, consumption, and utilization of products perceived to possess high quality and standards. The purchasing decision is an integral aspect of consumer behavior, encompassing the study of how individuals, groups, and organizations choose, buy, and use goods, services, ideas, or experiences to fulfill their needs and desires. This research aims to examine the impact of product diversification (X) on purchasing decisions (Y) within the Meatrix business located in Pandeglang, Banten. The findings and discussions of this study lead to a general conclusion regarding the concept of product diversification, which is categorized as good based on consumer ratings. This indicates that the highest indicator within the product diversification variable is consumer needs and expectations, while the lowest indicator pertains to ready-to-consume products. Furthermore, the purchasing decision variable is also categorized as good, with the highest indicator being product selection and the lowest indicator related to the choice of distribution channels.
Smart Classroom-Based Learning: Difficulties and Challenges at Islamic Private Higher Education
Authors: Hidayat Yusuf , Herniawati Ani , Mahmud Mahmud , Erihadiana Mohamad
Published: January 2025

Smart classroom-based learning is a digital learning concept that combines the integrated digital technology and information system to improve the quality of learning process and interaction between lecturers and students. The study aims to identify benefits, difficulties, and solutions towards the implementation of smart classroom-based learning for the students at Islamic private higher education in Ciamis, West Java, Indonesia during participating the lecturing process. The study employs qualitative method under a case study. The findings of this study show that the implementation of smart classroom-based learning at Islamic private higher education in Ciamis, West Java is very useful for the students during participating the lecturing process. The evidences are shown by the percentage of 67.71%. In addition, (2) the most difficulties faced by the students during participating the lecturing process through the implementation of smart classroom-based learning is they cannot operate laptop and available digital tools. The evidences are shown by the percentage of 37.5%. Finally, the most solutions chosen by the students are asking for help to the IT staffs. These evidences are shown by the percentage of 41.67%. In conclusion, the implementation of smart classroom-based learning is very useful to support the quality of lecturing process at Islamic private higher education in Ciamis, West Java, Indonesia.
Influence of Relationship Marketing, Customer Satisfaction and Promotion on Customer Loyalty at PT BPRS Mitra Harmoni Malang City
Authors: Yudhanto Ifani , Rachmawati Ike Kusdyah , Bukhori Mohammad
Published: January 2025

This research aims to determine the influence of Relationship Marketing, customer satisfaction and promotions on customer loyalty at PT BPRS Mitra Harmoni Malang City. The population in this research were customers of PT BPRS Mitra Harmoni Malang City, with a research sample of 100 respondents with a purposive sampling technique. The data collection techniques used were questionnaires, interviews and documentation. The analysis technique uses multiple linear regression with SPSS for Windows 26.0 statistical analysis. The research results show that relationship marketing, customer satisfaction and promotions have a positive and significant effect on customer loyalty. The research results show that relationship marketing has a positive and significant effect on customer loyalty at PT. BPRS Mitra Harmoni Malang City, satisfaction has a significant positive effect on customer loyalty to PT. BPRS Mitra Harmoni Malang City, promotions have a significant positive effect on customer loyalty at PT. BPRS Mitra Harmoni Malang City, and relationship marketing, satisfaction, promotions, influence PT customer loyalty BPRS Mitra Harmoni Malang City.
Rapport Management Framework in Classroom Interaction: A Socio-pragmatic Analysis of Teachers' Utterances
Authors: Syting Christian Jay O.
Published: January 2025

This qualitative descriptive study employing socio-pragmatic analysis aimed to analyze teachers' utterances using Spencer-Oatey's Rapport Management Framework, essential for improving teacher-student relationships and enhancing classroom dynamics. A 6-hour classroom observation and interview with 10 teachers were conducted to collect the data. The framework includes face and social rights. In terms of face, it involved the quality face, which comprised well-being concern, dialogue encouragement, openness to diverse perspectives, respect for diverse opinions, feedback and encouragement, fairness and humility; social identity face, which comprised of behavioral guidance, authority establishment, group engagement, effort encouragement, participation seeking, attention direction, guidance of understanding, correctness assurance, and support reinforcement; and relational face, which comprised of managing classroom dynamics, gentle correction, commitment to personalized support, promotion of mutual support, validation and clarification strategy. On the other hand, sociality rights involved association and equity rights: the latter consisted of the principles of involvement, empathy, and respect, while the former consisted of cost-benefit consideration, fairness and reciprocity, and autonomy-control. The results imply that both face and sociality rights can be sources of offense. Face is important for maintaining students' personal/relational/social value, while sociality rights help ensure fairness, consideration and behavioral appropriateness. These elements are important for teachers when interacting with students because they promote respectful communication and strengthen teacher-student relationships. The inclusion of these concepts in the curriculum helps create a positive and inclusive classroom environment.
Management Strategic on Formulating and Socializing the Vision and Mission at Islamic College Putra Galuh Ciamis
Authors: Hidayat Yusuf , Herniawati Ani , Hidayat Ara
Published: January 2025

Vision and mission are the main parts which should be formulated, socialized, understood together, and implemented collectively and consistently to achieve the goals of an institution. This study aims to identify the vision and mission formulated and socialized at Islamic college Putra Galuh Ciamis. In this study, the researchers used qualitative approach under phenomenological method. The results of the study showed that the vision and mission were formulated and socialized within 6 stages: forming a team to develop the vision and mission of Islamic college Putra Galuh Ciamis; preparing a draft of the vision and mission plan for Islamic college Putra Galuh Ciamis; revising the draft that has been designed; creating harmony between the vision, mission, goals, and programs conducted at Islamic college Putra Galuh Ciamis; making decision by listening the inputs from the lecturers, the students, the users and other stakeholders in a forum taken place at Islamic college Putra Galuh Ciamis; and socializing the vision, mission, goals and programs to the whole academic community at Islamic college Putra Galuh Ciamis. In addition, the barrier factors at which vision and mission are hardly known and understood by the whole stakeholders, including: lack of awareness of each academic community to memorize well the vision and mission that had been socialized; the socialization of the vision and mission has not been conducted sustainably; and the vision and mission that have been socialized have not been posted in every room, so that the whole students have not read them. The new findings as the novelty of the present study is in the form of the supporting factors as the solutions to overcome the barrier factors. Those supporting factors include: the setting of banners containing the vision and mission of Islamic college Putra Galuh Ciamis were taken place in the leaders’ rooms, lecturers’ room, and administration room; the vision and mission are written in the student's thesis writing guidebook; and the vision and mission were also posted in the website of Islamic college Putra Galuh Ciamis, so that it can be easily accessed by online.
Investigating the Use of WhatsAuto for Students' Consultation on Writing Narrative Project at X Grade SMK Muhammadiyah Tepus 2023
Authors: Subangun Rohmat , Susanti Ani , Oktavianti Ikmi Nur
Published: January 2025

The study aimed to investigate the implementation process, benefits, and obstacles of using WhatsApp Automatic Reply (WhatsAuto) for students' consultation on writing narrative projects at X Grade SMK Muhammadiyah Tepus 2023. This descriptive qualitative research involved an English teacher and students from the X Grade as participants. Data collection methods included interviews, classroom observations, and documentation. The findings reveal that using WhatsAuto was conducted through structured activities divided into three stages: classroom activity, crosscheck, and submission. These stages allowed continuous interaction between students and teachers, supporting online and offline learning environments. The use of WhatsAuto provided several benefits, such as instant accessibility, flexibility, efficient communication, personalized learning experiences, and the promotion of digital literacy. However, some obstacles were identified, including varied levels of student understanding, low motivation, and technical issues such as poor network connectivity.
The Historical Revolution and Progress of Camera Auto Focus Systems
Authors: Zhang Weiyuan
Published: January 2025

The auto-focus system is an important part of modern cameras, not only single lens reflex (SLR) cameras but also mirrorless cameras. The reliability level of an auto-focus system usually determines the availability of a camera in the photography industry. Today the photography industry makes more strict requests for auto-focus ability, which means that the camera can work in more complex and difficult environments, such as the Olympics and ecological photography. The paper reviewing past related research and patents points out basic development rules of auto-focus system and prospect futural trends of it. This research found that the auto-focus technology experiences a process from active focus to passive focus, from contrast focusing to phase focusing and mixing focus, from separated focus module to phase detection auto-focus (PDAF). This research points out that several companies and scientists have had hard effects on it. In the future, auto-focus technology will become more reliable and intelligent with artificial intelligence and eye-control focus.
The Impact of the Angle Between the Soft-Hard Interlayer Rock Mass and the End Anchorage of Bolts on the Support Stress Field
Authors: Li Haojie , Liang Weimin
Published: January 2025

To investigate the impact of the angle between the soft-hard interlayer rock mass and the end-anchored bolts on the support stress field, numerical simulations were conducted to create models of soft-hard interlayer rock masses with varying dip angles. The distribution of the support stress field was analyzed. The results show that the variation in the angle between the soft-hard interlayer rock layers and the end-anchored bolts significantly affects the support stress field at the anchorage. In all models, the anchorage section is under tension, while the areas below the anchorage and above the bearing plate are under compression. In the single-bolt support model, when the angle between the rock layers and the bolt is small, the stress field is uniformly symmetrical, with a larger compression stress area and a symmetrical tension stress area. As the dip angle increases, the stress field gradually develops into an asymmetric distribution, with the compression stress area shifting and the tension stress area becoming asymmetric. The compression stress in the soft rock layers is lower than that in the hard rock layers. In the double-bolt support model, the overlapping stress field gradually transitions from a uniform symmetrical distribution to an asymmetric one as the dip angle increases. The internal stress values gradually decrease, and the actual support effectiveness weakens. It is evident that the angle between the soft-hard interlayer rock mass and the end-anchored bolts has a significant impact on the support stress field. The findings of this study provide useful insights for the design and construction of bolt support systems, including the spacing between bolts, in engineering practice.
Hydrogen-Doped Combustion Engines: Present and Future
Authors: Zhou Yuchang
Published: January 2025

The development of clean energy is an important research direction in the face of global climate change and chemical fuel shortages. Hydrogen is receiving increasing attention as a clean energy source due to its properties of reducing carbon emissions and improving the performance of internal combustion engines. This paper provides an overview of the current state of research on hydrogen-doped internal combustion engines and analyzes the combustion characteristics of hydrogen, its impact on engine performance, and the technical challenges associated with carbon and nitrogen emissions. The study uses a literature review approach to summarize data on the hydrogen doping ratio on fuel efficiency and emissions. The results show that doping internal combustion engines with 5% to 30% hydrogen can increase engine efficiency by 25% while reducing harmful emissions such as CO and HC by 40% to 80%. However, NOx emissions NOx emissions increase with increasing hydrogen content. To avoid this, a mix of exhaust gas recirculation (EGR) and lean-burn technologies is essential. These technologies make hydrogen-doped internal combustion engine technology a great potential for heavy-duty vehicles.
Structural Design and Analysis of Knee Joint Rehabilitation Exoskeleton Robot
Authors: Jin Junxi , Wang Jie , Xie Hao
Published: January 2025

This paper provides the design and optimization of a knee rehabilitation exoskeleton robot, focusing on mechanical structure, material selection, and motion mechanics analysis. First, it starts by identifying design requirements based on knee joint biomechanics. The design uses a tandem elastic actuator as the main power source and includes a crank guide rod mechanism to adjust the lengths of the thigh and calf segments. This helps reduce the peak force demand during actuation and improves the comfort of human-computer interaction and the degree of lightweight of the device. The study also analyzed the kinematic parameters of the knee joint to ensure that the exoskeleton can effectively support the needs of patients during rehabilitation training and limit the knee range of motion to a safe range through the mechanics. Furthermore, the paper compares the properties of three materials, titanium alloy, carbon fiber, and aluminum alloy, and discusses how to balance factors such as strength, weight, durability, and cost in exoskeleton design. The final design of the exoskeleton robot is not only suitable for rehabilitation training but also able to provide continuous power support for patients with permanent disabilities and effectively improve their quality of life.
Integral Monotonicity on the Duplex-Plane
Authors: Wang Mingda , Qin Hao
Published: January 2025

Duplex numbers are a generalization of real numbers, which are commutable rings with zero factors generated by two real numbers. In this paper, according to the partial order relationship of the duplex number and the decomposition of the duplex number, the monotonicity of the integral on the duplex-plane is studied, and the monotonic representation of the duplex-integral is obtained. This paper finds two null factors in the definition of the expression of the duplex number, and decompose them on this basis, which is helpful for us to analyze its monotonic nature. The monotonicity of the duplex integral will further promote the development of the theory of duplex analysis.
Early Detection of Breast Cancer: Comparative Analysis of Machine Learning and Deep Learning Algorithms
Authors:   Department of Computer Science and Engineering, Chandigarh University, Chandigarh (Punjab), India., Singh Jashanpreet , Raahat Syed ,   Department of Computer Science and Engineering, Chandigarh University, Chandigarh (Punjab), India., Sharma Aditya ,   Department of Computer Science and Engineering, Chandigarh University, Chandigarh (Punjab), India., Dellu Sourabh ,   Department of Computer Science and Engineering, Chandigarh University, Chandigarh (Punjab), India., Arora Saksham ,   Department of Computer Science and Engineering, Chandigarh University, Chandigarh (Punjab), India.
Published: January 2025

Breast cancer classification remains a critical challenge in medical diagnostics due to the imbalanced nature of available datasets, where the minority (cancerous malignant) class is often overshadowed by the majority (benign) class. This study proposes a hybrid model based on logistic regression, enhanced with class balancing techniques and ant search optimization, to improve the identification of the malignant class. The model is compared with SVM, Random Forest, and KNearest Neighbors (KNN) across three stages: prediction before diagnosis, at diagnosis and therapy, and post-treatment outcomes. The experiments, conducted on the Jupyter platform using the Wisconsin breast cancer dataset, demonstrate that the hybrid model achieves a high accuracy of 92.98%, significantly reducing false negatives. The study highlights the strengths of logistic regression in providing interpretable results, crucial for clinical decision-making, especially when compared to more complex models like Artificial Neural Networks (ANN). This research offers a reliable and accurate tool for early breast cancer detection and prognosis, contributing to ongoing efforts to enhance patient outcomes through the integration of hybrid machine learning models in medical diagnostics.
A Comprehensive Survey of Deep Learning and Ensemble Techniques in Glaucoma Detection
Authors:   Department of Computer Science and Engineering, KIT-Kalaignarkarunanidhi Institute of Technology, Coimbatore (Tamil Nadu), India., Mithunavarshini A.P  , Deepa S  ,   Assistant Professor (Sl. G), Department of Computer Science and Engineering, KIT-Kalaignarkarunanidhi Institute of Technology, Coimbatore (Tamil Nadu), India.
Published: January 2025

Glaucoma stands as a primary contributor to irreversible blindness, necessitating precise and prompt diagnoses for effective management. Recent progress in deep learning, particularly through the use of ensemble methods involving Convolutional Neural Networks (CNNs), has demonstrated considerable potential in automating the detection of glaucoma by analyzing ocular imaging data, such as fundus and Optical Coherence Tomography (OCT) images. This survey provides a thorough overview of the latest ensemble-based approaches developed for glaucoma detection, emphasizing the advantages of integrating various CNN architectures, including ResNet, VGG, and DenseNet, to enhance feature extraction and classification capabilities. The paper explores current trends in transfer learning, multi-modal data integration, and hybrid methodologies that reinforce the performance and adaptability of ensemble methods in clinical environments. Additionally, it addresses challenges like the necessity for high-quality labeled datasets, model interpretability, and generalization across different populations. By exploring into recent studies, the survey aims to identify limitations in existing systems and propose advancements in ensemble- based glaucoma detection, ultimately offering valuable insights into future research path that can narrow the gap between experimental findings and practical clinical applications.
A Survey on Liver Cancer Detection Using Hyperfusion of CNN and SVM in Machine Learning
Authors:   Assistant Professor, Department of Computer Science and Engineering Kalaignarkarunanidhi Institute of Technology, Coimbatore (Tamil Nadu), India., Sasikala R  , Kalaiselvi N  ,   Student, Department of Computer Science and Engineering Kalaignarkarunanidhi Institute of Technology, Coimbatore (Tamil Nadu), India.
Published: January 2025

Since liver cancer ranks among of the most aggressive renditions of the disease, improving patient outcomes requires early identification. We propose an inventive tactic to liver cancer detection by integrating CNN and SVM. CNNs, known for their powerful feature extraction capabilities, are particularly effective in analysing complex medical images. SVMs, on the other hand, are efficient classifiers that can separate data points in high-dimensional spaces with accuracy. By merging the feature extraction strength of CNN with the classification efficiency of SVM, the proposed model aims to enhance liver cancer detection accuracy and robustness. The experimental results reveal that the fused CNN-SVM model significantly surpasses the performance of standalone CNN and SVM models, achieving a high detection accuracy of 95.2%. This hybrid method offers a promising direction for improving the precision of computer-aided diagnosis systems, contributing to more effective and reliable liver cancer detection methods that can assist healthcare professionals in making timely decisions.
A Novel Method to Detect Lymphangioleiomyomatosis (LAM) Using CNN- LSTM on Computed Tomography
Authors:   Department of Computer Science and Engineering, Kalaignarkarunanidhi Institute of Technology Coimbatore (Tamil Nadu), India., Seema. S Sithika , Ms. Sumathy R.  ,   Assistant Professor, Kalaignarkarunanidhi Institute of Technology Coimbatore (Tamil Nadu), India.
Published: January 2025

Detection of Lymphangioleiomyomatosis (LAM) using CNN-LSTM framework on CT images, Lymphangioleiomyomatosis (LAM) is a progressive lung disease marked by uncommon cystic growths, often diagnosed using high-resolution CT scan images. The complex nature of LAM's radiological findings and the need for specialized knowledge make early and correct diagnosis difficult, even though it is essential for successful treatment. In order to automate the detection of LAM in CT images, this study introduces an advanced deep learning approach that integrates CNN with LSTM networks. A well-annotated dataset of CT scans from patients with LAM and healthy controls was used to create and evaluate the model. To increase model robustness and generalizability, extensive preprocessing was used, including lung area segmentation and data augmentation. Accuracy, sensitivity, specificity, and AUC-ROC were among the key performance indicators that demonstrated how well the model distinguished between LAM and non-LAM cases. The accuracy of the CNN-LSTM model for detecting Lymphangioleiomyomatosis (LAM) using CT scan images is approximately 80. By providing a dependable, non-invasive, and scalable approach to early LAM identification, this novel CNN-LSTM design lessens the need for expert interpretation and improves diagnostic effectiveness.
AI-Driven Personalized Fitness Coaching with Body Type-Based Workout and Nutrition Plans and Real-Time Exercise Feedback
Authors:   Department of Information Technology, Faculty of Computing, Sri Lanka Institute of Information Technology, New Kandy RD, Malabe, Sri Lanka., I.M.D.J.R. B Ilukpitiya , H.M.R. B Herath ,   Department of Information Technology, Faculty of Computing, Sri Lanka Institute of Information Technology, New Kandy RD, Malabe, Sri Lanka, R.H.M.S.A Rajakaruna ,   Department of Information Technology, Faculty of Computing, Sri Lanka Institute of Information Technology, New Kandy RD, Malabe, Sri Lanka, M.H.S.M Herath ,   Department of Information Technology, Faculty of Computing, Sri Lanka Institute of Information Technology, New Kandy RD, Malabe, Sri Lanka, Pulasinghe Koliya ,   Department of Information Technology, Faculty of Computing, Sri Lanka Institute of Information Technology, New Kandy RD, Malabe, Sri Lanka, Krishara Jenny ,   Department of Information Technology, Faculty of Computing, Sri Lanka Institute of Information Technology, New Kandy RD, Malabe, Sri Lanka.
Published: January 2025

In today’s fast-paced world filled with distractions such as work, family, education and other commitments, people often have little time and energy to maintain a healthy lifestyle. Traditional fitness approaches frequently fail to meet the dynamic needs and expectations of modern users, leading to dissatisfaction and disengagement. A main problem of traditional systems is the lack of personalization for diverse users, that also monitors and tracks the workout progression. This study introduces an innovative system that creates a personalized workout and diet plan which aims to engage and motivate the user experience by individual personalization. Through means such as real-time exercise tracking and feedback mechanisms, this mobile fitness application aims to address limitations of traditional fitness approaches, proving fitness experience for users to achieve their health and fitness goals in a convenient and sustainable manner
Pengaruh Model Pembelajaran Inquiry Based Learning terhadap Hasil Belajar Siswa Kelas IV
Authors: Yusnarti Mulya , Yulianti Eka , Wulandari Intan Putri
Published: January 2025

Model Inquiry-Based Learning (IBL) merupakan pendekatan pembelajaran yang berfokus pada pengembangan kemampuan berpikir kritis, logis, dan analitis dalam rangka mencari dan menemukan jawaban secara mandiri atas suatu permasalahan yang diajukan. Penelitian ini dilatarbelakangi oleh permasalahan yang terjadi di SD Negeri 17 Woja, di mana siswa kelas IV kurang serius dan kurang fokus dalam menerima dan memahami materi pembelajaran. Penelitian ini merupakan penelitian kuantitatif dengan menggunakan metode eksperimen. Teknik pengumpulan data meliputi observasi, tes, dan dokumentasi. Analisis data dilakukan dengan menggunakan uji normalitas, uji homogenitas, dan uji hipotesis. Hasil penelitian menunjukkan bahwa terdapat pengaruh signifikan model Inquiry-Based Learning terhadap hasil belajar siswa kelas IV SD Negeri 17 Woja. Hal ini dibuktikan melalui hasil uji t yang menunjukkan nilai signifikansi sebesar 0,000 (<0,05), yang berarti terdapat pengaruh signifikan. Selain itu, peningkatan hasil belajar siswa terlihat setelah penerapan model pembelajaran Inquiry-Based Learning.
Pengaruh Pembelajaran Berbasis Resitasi dengan Media Benda Nyata terhadap Hasil Belajar Matematika Siswa Kelas II
Authors: Sari Fifi Fitriana , Marlina Leni , Andriani Mimin
Published: January 2025

Penelitian ini dilatarbelakangi oleh kurang bervariasinya motode pembelajaran yang digunakan dalam kelas sehingga hasil belajar siswa kurang optimal. Peneliti menawarkan penerapan metode pembelajaran baru yaitu berupa metode pembelajaran resitasi. Metode pembelajaran Resitasi merupakan metode pembelajaran berupa tugas yang diberikan oleh guru terhadap siswa dimana peserta didik dituntun untuk mengerjakan sebuah tugas yang diberikan berupa soal yang harus dilesaikan dalam mencapai tujuan belajar. Tujuan dari penelitian ini untuk mengetahui pengaruh metode pembelajaran resitasi dengan menggunakan media benda nyata terhadap pembelajaran matematika. Metode penelitian ini menggunakan metode penelitian Pre-eksperimental dengan pendekatan kuantitatif dan menggunakan desain penelitian one group pretest-posttest design. Teknik pengumpulan data yang digunakan dalam penelitian ini adalah tes dan dokumentasi. Teknik analisis data dalam penelitian ini meliputi uji normalitas menggunakan Shapiro Wilk dengan hasil signifikansi pretets 0,014 dan posttest 0,025 hasil pengujian lebih dari signifikansi 0,05 maka data sampel berdistribusi normal dan uji homogenitas dengan hasil signifikasnsi pretest dan posttest 0,314 hasil pengujian lebih dari signifikansi 0,05 maka data sampel homogen. Data dianalisis menggunakan uji T (One Sampel T test) dengan taraf signifikansi 0,000<0,005 sehingga dapat disimpulkan bahwa Ha diterima dan H0 ditolak. Jadi terdapat pengaruh metode pembelajaran resitasi dengan menggunakan media benda nyata pada pembelajaran matematika siswa kelas II SDN 30 Dompu.
Pengaruh Metode Reciplocal Teaching terhadap Kemampuan Membaca Pemahaman Siswa Kelas V
Authors: Suryaningsih Lili , Nurjannah Nurjannah , Syahrani Intan Putri
Published: January 2025

Penelitian ini dilatarbelakangi oleh kurangnya kemampuan membaca pemahaman siswa serta pemanfaatan metode sehingga hasil belajar siswa yang kurang optimal. Penelitian ini bertujuan untuk mengetahui ada tidaknya pengaruh metode Reciplocal Teaching terhadap kemampuan membaca pemahaman siswa kelas V. Metode penelitian yang digunakan adalah metode eksperimen semu. Sampel penelitian ini terdiri dari dua kelas, yaitu kelas eksperimen dan kontrol yang berjumlah 35 siswa. Teknik pengumpulan data menggunakan angket, tes dan dokumentasi. Teknik analisis data menggunakan teknik statistik uji t dengan menggunakan program komputer SPSS 21. Hasil penelitian ini menunjukan bahwa terdapat pengaruh pada kemampuan membaca pemahaman siswa yang diberi perlakuan dengan menggunakan metode Reciplocal Teaching. Nilai rata-rata tes awal kemampuan membaca pemahaman siswa kelas eksperimen 59,47 dan siswa kelas kontrol 45. Pada tes awal tersebut, nilai siswa kelas eksperimen dan kelas kontrol rata-rata di bawah KKM yaitu di bawah 70. Nilai rata-rata tes akhir membaca pemahaman siswa kelas eksperimen 78,42 dan siswa kelas kontrol 69,37. Hal ini menunjukan bahwa ada pengaruh yang signifikan terhadap kemampuan membaca pemahaman siswa kelas V SD Negeri 02 Woja pada kelas eksperimen dengan metode Reciplocal Teaching.
Optimalisasi Pemasaran Digital untuk Meningkatkan Keunggulan Kompetitif: Studi Kasus Elzatta Hijab Garut
Authors: Hidayat Taofik , Safitri Ajeng Erna
Published: January 2025

Penelitian ini bertujuan untuk mengkaji pengaruh digital marketing terhadap keunggulan bersaing pada Elzatta Hijab Garut, sebuah perusahaan fashion hijab yang menghadapi tantangan dalam menciptakan keunggulan bersaing di pasar yang semakin kompetitif. Dengan penerapan teknologi digital yang belum optimal, perusahaan ini menghadapi kesulitan dalam memaksimalkan potensi digital marketing untuk meningkatkan penjualan dan daya saingnya. Penelitian ini menggunakan pendekatan kuantitatif dengan analisis korelasi dan regresi linier sederhana untuk menguji hubungan antara digital marketing dan keunggulan bersaing. Berdasarkan hasil penelitian yang melibatkan 68 responden, ditemukan bahwa digital marketing memiliki pengaruh positif dan signifikan terhadap keunggulan bersaing, dengan kontribusi sebesar 27%. Penelitian ini memberikan kontribusi dalam memahami pentingnya pengoptimalan strategi digital marketing di sektor fesyen lokal, khususnya dalam meningkatkan daya saing di pasar yang semakin mengarah ke digitalisasi. Selain itu, hasil penelitian diharapkan dapat memberikan wawasan praktis bagi Elzatta Hijab Garut dan perusahaan serupa dalam merancang strategi pemasaran yang lebih efektif di era digital.
Medical social work in hospice settings: Bridging clinical care and emotional support
Authors: Jack Tarvie Jacob , Izah Sylvester Chibueze
Published: January 2025

Medical social workers play an indispensable role in hospice settings by addressing the multifaceted needs of patients and their families during end-of-life care. This paper focuses on how their expertise in psychosocial assessment, care planning, advocacy, counseling, and resource coordination ensures holistic, patient-centered care that integrates clinical and emotional support. Medical social workers foster culturally sensitive practices through interdisciplinary collaboration, enhance communication among care teams, and provide tailored interventions that address emotional, social, and spiritual concerns. This integration improves the quality of life for patients and alleviates emotional and systemic burdens on healthcare infrastructures. In addition to their immediate contributions, medical social workers support sustainable healthcare systems by promoting health equity and addressing disparities in hospice care. Their work aligns with global Sustainable Development Goals (SDGs), particularly SDG 3 (Good Health and Well-being) and SDG 10 (Reduced Inequalities), by ensuring equitable access to compassionate care for marginalized populations. Furthermore, their efforts to empower communities, advocate for cost-effective care strategies, and integrate social and medical perspectives contribute to the long-term resilience of healthcare systems. As the healthcare landscape evolves, the role of medical social workers in hospice care becomes increasingly critical. Their ability to address root causes of distress, navigate complex family dynamics, and facilitate interdisciplinary collaboration exemplifies the necessity of their role in advancing equitable and effective end-of-life care.
Green Buildings and Sustainability: A Review of Economic and Environmental Impacts
Authors: Baeroom Ahmad Abdullah , Hossen Md. Faisal , Abid Muhammad Aziz , Shahzad Faiza
Published: January 2025

A key tactic in combating climate change, energy efficiency, and sustainable resource use is the use of green buildings. Green buildings, which are distinguished by increased water and energy efficiency, less environmental impact, and higher occupant comfort and health, provide substantial advantages at both the individual and metropolitan levels. These include greater transaction and occupancy rates, reduced operating expenses, higher property prices, and wider societal benefits including market expansion and employment creation. Despite these advantages, green buildings are still not widely adopted, especially in the residential sector. Research has emphasized the significance of comprehending consumer behavior, showing that, regardless of cultural or geographical variations, economic, environmental, and socio psychological aspects have a significant impact on the intention to invest in residential green buildings. Additionally, it has been demonstrated that sustainability characteristics in real estate development have a major impact on property values, which is why industry participants and governments must include these elements in their strategy. Evidence also points to a complicated dynamic in commercial real estate markets, where the rise of green buildings may have an impact on property values and rental rates. This analysis highlights the economic and environmental dynamics of green buildings by combining the results of other studies, and it offers a basis for promoting sustainable real estate development and policy-making globally.
Sustainable packaging operations: Balancing cost, functionality, and environmental concerns
Authors: Daramola Oluwabukola Modupe , Apeh Charles Elachi , Basiru Joseph Ozigi , Onukwulu Ekene Cynthia , Paul Patience Okpeke
Published: January 2025

Sustainable packaging has emerged as a critical focus in the intersection of environmental conservation and operational efficiency, as organizations strive to meet consumer demand for eco-friendly products while maintaining profitability. This study explores the triadic balance of cost, functionality, and environmental concerns in sustainable packaging operations, presenting insights into the strategies and innovations that can drive sustainable practices without compromising economic and practical considerations. Key challenges in sustainable packaging stem from the need to replace traditional materials with eco-friendly alternatives, such as biodegradable, recyclable, and reusable options, while ensuring durability, usability, and affordability. This research highlights the growing importance of lifecycle assessments (LCA) in evaluating the environmental footprint of packaging materials, as well as the integration of circular economy principles to optimize resource utilization. Advanced manufacturing technologies, such as 3D printing and digital design, are discussed for their role in reducing waste and enabling customized packaging solutions. The study also examines the role of collaboration across supply chains to develop cohesive sustainable packaging systems and the importance of consumer education in fostering adoption. Case studies of successful implementations in various industries, such as food and beverage, personal care, and e-commerce, illustrate how companies have innovatively balanced the competing demands of cost, functionality, and environmental sustainability. Furthermore, regulatory pressures and corporate social responsibility (CSR) initiatives are identified as significant drivers of sustainable packaging innovation. This study concludes with a discussion on future trends, including the potential of nanotechnology and smart materials in enhancing packaging performance while minimizing environmental impact. The findings underscore the need for a holistic approach to sustainable packaging that aligns with economic goals, regulatory requirements, and environmental stewardship. By leveraging emerging technologies and fostering cross-industry partnerships, businesses can achieve sustainable packaging operations that support long-term environmental and economic resilience.
A CONTRIBUIÇÃO DA GESTÃO MERCADOLÓGICA PARA O DESENVOLVIMENTO DO MARKETING DE UMA PEQUENA TRANSPORTADORA
Authors: Borges Kelly Teixeira , Melo Vanessa Damasceno , Penha Pedro Xavier da
Published: January 2025

O artigo se caracteriza por um estudo de caso de abordagem qualitativa e pesquisa descritiva, com o objetivo de investigar ações de marketing e logística em uma pequena empresa de transportes no Centro-Oeste mineiro. Por meio de pesquisa bibliográfica e entrevista semiestruturada com os colaboradores da organização, foi possível identificar estratégias de marketing utilizadas, mapeando ações de marketing digital e identificando ações logísticas de transporte. Dessa forma, foi possível sugerir ações que podem contribuir para resultados melhores na prospecção de clientes. Foi identificado que a empresa estudada não possui planejamento mercadológico e estratégias de marketing bem definidas. O setor logístico é de extrema importância para o país, e a utilização de um marketing bem estruturado estrategicamente na gestão mercadológica pode trazer resultados positivos, gerando uma maior competitividade para a organização.
DA EDUCAÇÃO AMBIENTAL AO AMBIENTE MAIS DINÂMICO E ENGAJADOR DA MATEMÁTICA
Authors: Rodrigues Fernando Henrique Tavares de Melo
Published: January 2025

O presente estudo recomenda a integração da educação ambiental ao ensino de matemática nas instituições de educação básica. Essa metodologia de aprendizagem permite que os alunos vivenciem e experimentem os conceitos aprendidos em sala de aula, tornando o ambiente mais significativo, já que contribui para que o discente perceba a utilidade da matemática no contexto do mundo real. Para isso, foi apresentado um exemplo de atividade colaborativa que estimula a aprendizagem autodirigida, promovendo o desenvolvimento de habilidades e competências. Além disso, propôs-se que as escolas rompam com o modelo de ensino tradicional, adotando a interdisciplinaridade no ambiente escolar. A pesquisa bibliográfica e os estudos em websites revelaram que a aprendizagem colaborativa incentiva os alunos a exporem suas ideias e desenvolverem autonomia, especialmente quando as atividades escolares estão associadas ao contexto social do aluno. Conclui-se, portanto, que as instituições de ensino devem estabelecer a relação entre a matemática e as questões ambientais e sociais, contribuindo para a formação integral do estudante e incentivando-os a adotar práticas sustentáveis, com o objetivo de criar um futuro mais equilibrado.
ACESSO À GRATUIDADE CARTORÁRIA À LUZ DA TEORIA CRÍTICA DOS DIREITOS HUMANOS E O PAPEL LIMITADOR DO PODER JUDICIÁRIO
Authors: Mendonça Sheila Andrade , Andrade Diogo de Calasans Melo
Published: January 2025

O artigo busca observar a relação entre o acesso à gratuidade cartorária e a Teoria Crítica dos Direitos Humanos, analisando o papel do Poder Judiciário, enquanto fiscal das atividades cartorárias, como agente limitador desse direito; e a aporofobia estrutural, como barreira ao exercício do direito fundamental de acesso à justiça. Quanto à metodologia, foi adotada abordagem qualitativa, com revisão bibliográfica crítica de obras relevantes, em especial as de Gallardo e Herrera Flores, além de análise de normas jurídicas brasileiras relacionadas à gratuidade cartorária. Empregou-se a Teoria Crítica como base epistemológica para problematizar a atuação do Judiciário, ressaltando a necessidade de reconstruir as práticas judiciais a partir de uma perspectiva emancipatória e inclusiva. Com os resultados atingidos identificou-se que o formalismo jurídico e a aporofobia estruturam práticas judiciais que restringem o acesso à gratuidade cartorária, deslegitimando a pobreza como condição social, ferindo de morte o princípio da dignidade da pessoa humana. Essas práticas refletem a funcionalidade do sistema jurídico na manutenção de desigualdades e ignoram o potencial transformador do direito.
Two Brazilian ironworks of the early 19th century
Authors: Toussaint Friedrich
Published: January 2025

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Дослідження ролі інвестиційного потенціалу України в контексті повоєнного відновлення
Authors: Сакун О. С. , Барчук П. Л. , Саміленко І. І.
Published: January 2025

Стаття присвячена дослідженню ролі інвестиційного потенціалу України у повоєнному відновленні. В умовах постійно зростаючого рівня завданої шкоди від воєнних дій та обмеженості державних фінансових ресурсів набуває актуальності питання залучення зовнішнього фінансування за допомогою інвестиційного механізму. Мета дослідження полягає у визначенні роль інвестиційного ресурсу у повоєнному відновленні України. Поставлена мета обумовила необхідність вирішення  таких завдань, як визначення необхідності зростання інвестиційного потенціалу нашої країни, ідентифікація сутнісного наповнення поняття  інвестиційного ресурсу, встановлення значення інвестиційного потенціалу для повоєнного відновлення України. Для розкриття значення інвестиційного потенціалу в контексті повоєнної відбудови важливим є визначення його сутності, в чому наразі немає єдиного наукового підходу. Автори використовують загальнонаукові і спеціальні методи досліджень для характеристики поняття інвестиційного потенціалу та з’ясування його значення для повоєнного відновлення. У статті запропоноване авторське визначення дефініції «інвестиційний потенціал», як  можливий в реальних умовах обсяг залучення інвестиційних ресурсів  в національну економіку з метою їх ефективного використання як для задоволення суспільного попиту, так і для фінансування повоєнного відновлення. Зазначено, що  обсяги фінансових потреб на відбудову не можуть обмежуватись власними ресурсами чи міжнародної фінансовою допомогою, а за таких умов залучення інвестицій є тим ефективним механізмом, який здатен стати ключовим фактором фінансування повоєнного відновлення. Наголошено, що відповідно до фінансових потреб на відновлення та потенційну зацікавленість іноземних інвесторів щодо України, об’єктивно необхідним є формування відповідних умов для залучення інвестицій, підвищення інвестиційної привабливості та покращення інвестиційного клімату, здійснення законодавчих реформ, створення інституційного забезпечення та впровадження державної політики стимулювання інвестиційних надходжень. Доведено, що інвестиційний потенціал національної економіки може стати ключовим фактором повоєнної відбудови, що, в свою чергу, потребує  стратегічних дій від держави на сучасному етапі та активізації роботи над інвестиційним іміджом України та економічними, організаційними, нормативно-правовими стимулами залучення інвестицій, зокрема іноземних.
Concept and development of a user interface for human-robot collaboration during a safety briefing
Authors: Tasia Stang Janine , Wagner-Hartl Verena
Published: January 2025

Collaboration between humans and robots - also known as human-robot collaboration (HRC) - is revolutionizing the way we work and produce and will become increasingly important in the future. The basic idea of HRC is to combine the strengths of humans and robots. Regarding this future field, a considerable amount of attention is being paid to collaborative robots, so called cobots. These robots are intended for direct human-robot interaction within a shared space respectively defined collaboration space (e.g., EN ISO 10218-2). Direct collaboration can be controlled in different ways, for example via user interfaces. Today, graphical user interfaces are often chosen for this. In the presented paper, the question should be highlighted whether there are also situations in which a cobot itself operates a user interface. This seems to make particular sense if the cobot can offer added social value, for example in the areas of service, care or education. In elderly care, for example, a cobot can increase people's independence and accessibility by helping them to operate a cell phone or a tablet to stay in contact with their beloved or receive telemedical support. Using a cobot within this interaction, the cobot could show the person how to achieve their goal or choose the correct steps, instead of controlling the application directly via programming commands which can be challenging for the user. Hence, in this case the cobot acts as a tutor or friend together with the user. However, there is currently a gap in literature regarding this topic. For this reason, a user interface that is operated directly by a cobot was designed and investigated. The user interface is a newly developed short serious game called “SafetyBot”, which conveys safety instructions in a playful way. The idea was, that a social robot, which is positioned opposite the user, operates the game together with the user. During the developmental processes we faced various challenges regarding choosing the right robot and how to interact together on one user interface. These challenges and the resulting solutions, which then served as the basis for the evaluation in an experiment with users shall be described in more detail in this paper. The insights gained within this process provide a basis for future research on this topic and help with the integration of cobots into everyday life.
State-of-the-art in human-centric studies of AI-enhanced situational awareness within the security domain
Authors: Salmela Laura , Okkonen Jussi , Heikkiniemi Roosa
Published: January 2025

Advanced situational awareness and decision-making systems in the security domain heavily build upon versatile combinations of different artificial intelligence models, potentially including their earlier versions. Often, the broad variety of implemented algorithms results in complex system architectures which may challenge human comprehension of expert users. System performance is frequently evaluated by different technical metrics against various data sets, such as model accuracy, precision, and recall. However, without any consideration of human-autonomy teaming or human-system interaction, the possibilities of executing comprehensive system assessments are likely to remain limited. This systematic review examines the current state-of-the-art in human-centric studies on situational awareness systems applying machine learning or artificial intelligence as key technologies. Our findings are based on up to 40 studies that were identified in our literature searches. This paper outlines the transition in research on the domain and current trends. It also discusses the research gap on human-centric approach.