bluuebunny/crossref_metadata_2025 huggingface dataset:
Historical Representation and Psychological Analysis in French Films
Authors: Zhang Yuchen
Published: February 2025

The purpose of this paper is to explore how French films reflect the social features and the depth of human nature in a particular historical period through the two artistic techniques of historical representation and psychological analysis. Firstly, the research results in related fields at home and abroad are reviewed, the theoretical basis of historical representation and psychological analysis in film is established, and the specific meanings of these two concepts are defined. Through the analysis of several representative French historical films, we examine which major historical events the directors chose as their Settings, and how they used narrative strategies and visual elements to create an authentic historical atmosphere. At the same time, we also pay attention to the psychological state of the characters in the film, that is, the shaping of the character's personality, the portrayal of the inner world and the personality traits in the social and cultural context, which have a profound impact on the audience's understanding and feeling of the film. Further, the paper explores the intersection between historical representation and psychological analysis, showing how the two interact to enhance the artistic effect of film. For example, a complex historical background can give a character a richer psychological level, and the psychological changes of the character can reflect or affect the development of the historical process. On this basis, we choose several classic cases for in-depth analysis, and compare the differences in the methods of different directors when dealing with the same subject.
Enterprise Digitisation, Government Intervention and New Quality Productivity
Authors: Guo Bihan
Published: February 2025

The impact of enterprise digitization on new productivity is investigated by considering enterprise digitization as a micro-focus point for realizing the digital economy. The results show that digital transformation of enterprises has a positive effect on new quality productivity, which complements the theoretical findings. In addition, the moderating effect of government intervention, which operates in synergy with the market, is examined in this process, and the path of influence is explored from the perspective of multiple actors, which provides policy recommendations for further promoting the development of the digital economy and the new quality of productivity
A Comprehensive Study on the Application of Data Visualization in Feature Selection
Authors: Fu Ziyi
Published: February 2025

Feature selection is a critical step in machine learning and data analysis, where reducing the dimensionality of data helps to enhance model performance and interpretability. This paper provides a comprehensive review of the application of various data visualization techniques in feature selection, such as scatter plots, heatmaps, parallel coordinates, etc. These visual methods not only help in identifying key patterns but also aid in assessing the relevance and interactions between features. Visualization provides a clearer understanding of the data, facilitating more informed decisions during the feature selection process. Despite its importance, gaps remain in the existing literature, particularly regarding the scalability of visualization tools for large datasets. This review highlights these challenges and suggests potential research directions, including the development of advanced visualization methods tailored to complex datasets. Overall, the findings of this paper offer valuable insights for improving feature selection practices, leading to more efficient and accurate machine learning models to do better data analysis.
Research of Immersive Theatre from Audience Perspective
Authors: Chen Sirui
Published: February 2025

Immersive theatre redefines traditional theatre audience engagement by transforming spectators into active participants within highly dynamic and multi-sensory performance environments. This paper targeting audiences' experience and perception, explores the relationship between audiences and immersive theatrical productions, by drawing on Gordon Calleja's Player Involvement Model (PIM) and Josephine Machon's conceptualization of immersion, focusing on the mechanisms through which immersive theatre achieves heightened levels of spatial, narrative, sensory, shared, ludic, and affective involvement. this study examines the interplay of physical design, storytelling, and audience agency in productions such as Sleep No More, The Burnt City, and Viola's Room. The findings showed audience's experience plays a crucial role in immersive theatre, which can define the success of immersive theatre from many perspectives. Moreover, immersive theatre has the potential to further redefine storytelling and artistic expression, creating profound and individualised audience engagements in the future.
Exploring the Macroeconomic Effects of Tax and Fee Reductions
Authors: Hu Xuezhen
Published: February 2025

This paper combines the IS-LM model to analyze the macroeconomic effects of China's positive fiscal policy of reducing taxes and fees, including tax burden, output, tax structure, consumption and investment, in the stage of combined tax cuts and fee reductions after the "Camp Reform" in 2016. Through the analysis of specific data, in this stage, China's overall tax burden continues to decline, the level of output rises slowly, the value-added tax accounted for the proportion of tax revenue declines while the proportion of income tax accounted for tax revenue rises, the tax structure changes, the level of consumption remains rising, in terms of investment, the growth rate of private-sector investment in the post-tax cut policy has a significant decline, there is the possibility of fiscal crowding out. For the tax cut and fee reduction policy at this stage, it is proposed that while adopting tax cuts as a fiscal policy tool to act against the economic winds, it can be combined with monetary policy; combining tax cuts with economic and social development trends, and promoting the combination of tax cuts with optimization of the tax system; and upgrading the level of tax collection and management and improving the efficiency of the use of fiscal expenditure funds, and other policy recommendations.
Management of Zakat Funds in Zakat Management Institutions
Authors: Rahman Nailur , Eletmany Mohamed R. , Asyaari Asyaari , Jalaluddin Moh. , Muammar Muammar
Published: February 2025

The management of zakat funds by the Sidogiri Amil Zakat Agency can become a social economic force for the Muslim community, with a more innovative approach compared to conventional activities, as revealed by this study. This study aims to explore and understand the implementation of zakat fund management at the Sidogiri Amil Zakat Institution. Using a qualitative approach with ethnographic methods, data were collected through interviews, observations, and documentation. Data processing was carried out through condensation, presentation, and conclusion drawing, while data validity was ensured through triangulation of techniques and sources. The research findings reveal several key results: 1) Zakat collection is actively carried out in various locations such as cities, districts, villages, residential areas, companies, stores, mosques, and through visits to communities and community leaders. There are FO (Funding Officer) staff members responsible for collecting zakat funds. 2) Zakat funds are distributed to the community in the form of zakat fitrah, money, and essential goods such as rice, as well as assistance for poor and destitute children, scholarships, the construction of worship facilities, and the provision of clean water. Distribution follows the principle of the eight eligible recipients. 3) Funded programs include assistance for elderly destitute individuals, while other programs such as education, preaching, health, economy, humanitarian aid, and environmental issues are not funded by zakat funds
Class Management in Improving Student Learning Participation in Elementary School Madrasah in Indonesia
Authors: Baidowi Ach. , Ali Himad , Putri Sari Nusantara
Published: February 2025

Good classroom management is influenced by effective leadership, harmonious relationships, and continuously improving facilities. Despite some shortcomings in facilities, student awareness, and the application of learning methods, this study aims to explore classroom management from planning to supervision in order to enhance student learning participation. The research method used is qualitative through a literature review by collecting data from scholarly articles on Google, focusing on classroom management in Madrasah Ibtidaiyah, through a series of analyses and conclusions. The research findings show that classroom management strategies in Madrasah Ibtidaiyah aim to create a conducive and effective learning environment. This includes lesson planning, classroom arrangement, student motivation, and attention to students' physical and psychological conditions. Teachers need to manage student activities and behavior with care and reinforcement, as well as use appropriate methods. Humanistic and democratic classroom management supports effective interaction, productive relationships, and optimal student development. Classroom organization begins with thorough learning preparation, such as developing lesson plans, selecting media, assigning group tasks, and consistent, clear classroom rules.
Effect of Vam and Azotobacter Inoculation on Growth and Biomass Production in Forestry Species
Authors: Nagaveni H. , Vijayalakshmi G.
Published: February 2025

Seedlings of Eucalyptus camaldulensis, Wrightia tinctoria and Bombax ceiba were inoculated with Azotobacter chroococcum and VAM fungi singly as well as in combination in root trainer under nursery conditions. All treated seedlings exhibited improved growth and biomass. But, better response was observed in both VAM-alone and VAM+Azotobacter treatment and least response was observed in Azotobacter-alone treatment. It can be concluded that microbial inoculation to tree species was found to improve productivity and this has to be practiced as integrated nursery management for quality seedling production and successful forest regeneration.
Multi Criteria Decision Making Using Linguistic Fermatean Neutrosophic Number
Authors:   Department of Mechanical Engineering, Loyala College of Engineering, India, Said Said ,   Department of Mechanical Engineering, Sri Sivasubramaniya Nadar College of Engineering, India,   Department of Mathematics, Sri Sivasubramaniya Nadar College of Engineering, India,   Laboratory of Information Processing, Faculty of Science Ben M’Sik, University of Hassan II, Casablanca, Morocco STIE team, Regional Center for the Professions of Education and Training, Casablanca- Settat, Morocco, Vijayan S. , Sundareswaran R. , Broumi Said
Published: February 2025

The article aims to introduce the Linguistic Fermatean Neutrosophic set (LFNS) which is an important mathematical tool that helps to solve decision-making problems. LFNS is a generalization of the Linguistic Fermatean Fuzzy set (LFFS), by adding the truth, falsity and indeterminacy membership degrees to denote the uncertain information. Score and Accuracy functions are introduced to distinguish any two or more linguistic Pythagorean Neutrosophic Numbers. Weighted averaging and geometric aggregation operators with respect to linguistic Pythagorean neutrosophic weighted average and geometric, ordered weighted average are proposed. OEE (Overall Equipment Effectiveness) is the industry standard for measuring manufacturing productivity. It defines the percentage of manufacturing time that is productive. A 100% OEE score means that you are creating only high-quality products as soon as possible, with no downtime. By measuring OEE and the underlying losses, you will gain critical insights on how to systematically optimize your manufacturing process. OEE is the single most effective measure for detecting losses, assessing progress, and improving manufacturing equipment productivity (i.e., reducing waste). To adopt OEE practices in manufacturing industries, we must first understand, measure, and enhance OEE. The purpose of this research is to better understand OEE practices and their crucial aspects. The Human Arena, Engineering, Management, and Social elements are assessed, with sub-factors aggregated by similarity and analyzed using a LFNN. This method helps to comprehend the impact of each factor and ranks the group based on their influence in implementing the OEE practices effectively in an organization. The Engineering aspects and the Management aspects contribute a major role in the success of OEE. In this study, the assessment of numerous components and sub-factors involving determining the influence factor leading to OEE is translated into a Multi-Attribute Group Decision Making (MAGDM) problem and illustrated in the last section utilizing LFNN.
On the characterization of Harmonized fuzzy subgroups θ Open set
Authors:   Basic sciences department, Al-Zarqa University College, Al-Balqa Applied University, Amman, Jordan, Eman Eman ,   Mathematics Department, Faculty of Science, Applied Science Private University, Amman, Jordan,   Mathematics Department, Faculty of Science, Applied Science Private University, Amman, Jordan,   Mathematics Department, Science College, Philadelphia University, Amman, Jordan, Khalil Sara A. , Abu-Ghurra Sana Abu , Alafifi Ghada
Published: February 2025

In this paper, we continue to discuss the concept of harmonized fuzzy subgroups. We present the harmonized fuzzy coset and harmonized fuzzy normal subgroup and their properties. We also study the effect of group homomorphism on harmonized fuzzy subgroups. Finally, we define and study the cartesian product of two harmonized fuzzy subgroups.
Neutrosophic Hierarchical Clustering: A Novel Approach for Handling Uncertainty in Multi-Level Data Organization
Authors:   School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, India, Sitikantha Sitikantha ,   School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, India,   School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, India, Mohanty Suneeta , Mishra Bhabani Shankar Prasad
Published: February 2025

The most important stage of data mining is clustering. Several distinct clustering approaches like grid-based, density-based, partitioning, graph-based, model-based, and hierarchical clustering are used for cluster analysis. We can cluster data objects into hierarchical trees by using the hierarchical clustering approach. Hierarchical clustering, with its agglomerative and divisive types, uses nodes to represent clusters. Agglomerative clustering is favored, and high-quality clusters are essential for successful cluster analysis. Up to this point, numerous alternatives to the clustering technique have been proposed, including the fuzzy k-mean approach. The uncertainty resulting from numerical variations or unpredictable natural occurrences may be handled by any data mining techniques now in use. However, indeterminacy components may be present in current data mining challenges in real-world scenarios. Neutrosophic logic, applicable in various sectors, is gaining traction due to its efficiency and accuracy, attracting investment for its potential to improve human lives. The suggested approach outperforms current methods like fuzzy logic and k-means in its ability to forecast the number of clusters.
Fractional-Order SEIR Model for COVID-19: Finite-Time Stability Analysis and Numerical Validation
Authors:   Department of Mathematics, School of Science, The University of Jordan, Amman, 11942, Jordan; Nonlinear Dynamics Research Center (NDRC), Ajman University, Ajman 346, UAE, Iqbal Iqbal ,   Nonlinear Dynamics Research Center (NDRC), Ajman University, Ajman 346, UAE; Department of Mathematics, Al Zaytoonah University of Jordan, Amman 11733, Jordan,   Department of Mathematics, College of Sciences, Jouf University, Sakaka, Saudi Arabia,   Applied Mathematics  Modeling Laboratory, Department of Mathematics, Faculty of Exact Sciences, University of Brothers Mentouri, Constantine 25000, Algeria,   Department of Mathematics and Computer Science, University of Oum El Bouaghi, Oum El Bouaghi 04000, Algeria,   Faculty of Education and Arts, Sohar University, Sohar 3111, Oman; Applied Science Research Center, Applied Science Private University, Amman 11937, Jordan, Batiha Iqbal M. , Hijazi Mohammad S. , Bendib Issam , Ouannas Adel , Anakira Nidal
Published: February 2025

This paper investigates a fractional-order SEIR model to study the dynamics of infectious diseases, specifically COVID-19, by incorporating memory effects through fractional derivatives. The model’s formulation enhances the understanding of epidemic dynamics by considering disease transmission, recovery, and mortality rates under fractional calculus. Stability analyses are conducted for the disease-free equilibrium (DFE) and the pandemic fixed point (PFP), identifying critical conditions for finite-time stability using Lyapunov functions and fractional derivatives. Numerical simulations validate theoretical findings, demonstrating finitetime stabilization around the equilibrium points under realistic parameter settings. The results underscore the advantages of fractional-order modeling in capturing complex epidemic dynamics and highlight its potential to inform public health intervention strategies.
Student Academic Performance Classification Using N-Valued Interval Neutrosophic Sets with Optimization Algorithms for Significant Feature Selection
Authors:   College of Humanities and Sciences, Ajman University, UAE, Cuauhtemoc Cuauhtemoc ,   College of Business Administration, American University of the Middle East, Kuwait,   University of Khorfakkan, Sharjah, UAE,   American University in the Emirates, UAE, Samaniego Cuauhtemoc , Abouelnour Moustafa Mohamed , Ali Wael F.
Published: February 2025

The most effectual tools for demonstrating uncertainty in decision-making issues are the neutrosophic set (NS) and its additions, like interval NS (INS), complex NS (CNS), and interval complex NS (ICNS). NS delivers an effectual and precise method for defining an imbalance of information as per the data features. In present times, students’ academic performances have been evaluated on the base of regular examinations or memory-related tests and by equating their performances to recognize the features for forecasting their academic excellence. The prediction of student academic performance is involved in Educational data mining (EDM), which mainly focuses on using data mining methods in the educational side. EDM progress models for finding data, which is a result of educational surroundings. This paper presents a Student Academic Performance Prediction Using N-Valued Interval Neutrosophic Sets and Optimization Algorithms (SAPP-NINSOA). The main intention of the SAPP-NINSOA technique is to provide a prevalent technology for predicting students’ academic performance using an advanced optimization algorithm. At first, the data pre-processing stage applies Z-score normalization to convert input data into a beneficial format. Besides, the secretary bird optimization algorithm (SBOA) to select the relevant features from input data has executed the feature selection process. Next, the proposed SAPP-NINSOA model designs the N‐Valued Interval Neutrosophic Sets (NVINS) method for the classification process. Finally, the arithmetic optimization algorithm (AOA) fine-tunes the parameter values of the NVINS model. An extensive range of experimentation was led to certify the performance of the SAPP-NINSOA technique. The simulation outcomes stated that the SAPP-NINSOA algorithm emphasized furtherance when compared to other existing systems.
Meningkatkan Hasil Belajar Siswa pada Pelajaran IPA melalui Metode Eksperimen Kelas IV SD Negeri 1 Kambowa
Authors: Onde Mitrakasih La Ode , Rizkayati Anisa , Kusrini Kusrini , Febrianti Winda
Published: February 2025

Penelitian ini fokus pada meningkatkan hasil belajar siswa pada pelajaran IPA melalui metode eksperimen  di kelas IV SD Negeri 1 Kambowa, Tujuan penelitian ini adalah untuk meningkatkan hasil belajar siswa pada pembelajaran IPA melalui metode pembelajaran eksperimen di SD Negeri 1 Kambowa. Metode penelitian menggunakan desain penelitian tindakan kelas (PTK) dari Kemmis & MC Taggart yang terdiri dari perencanaan, pelaksanaan, observasi dan refleksi. Subjek penelitian adalah siswa kelas IV SD Negeri 1 Kambowa yang berjumlah 20 orang siswa yang terdiri dari 9 orang  laki-laki dan 11 siswa perempuan. Teknik pengumpulan data yang digunakan yaitu melalui observasi, tes dan dokumentasi. Penelitian ini dilaksanakan semester genap tahun ajaran 2023/2024 yang dilakukan sebanyak 2 siklus, setiap siklusya terdiri dari 2 kali pertemuan. Hasil pembelajaran siswa pada prasiklus sebelum menerapkan metode eksperimen terdapat 7 siswa yang tuntas belajar dengan ketuntasan klasikal 35%. Setelah menerapkan metode eksperimen pada siklu I siswa yang tuntas belajar menjadi 14 siswa dengan ketuntasan klasikal 70%. Kemudian pada siklus II meningkat menjadi 17 siswa yang tuntas belajar dengan ketuntasan klasikal 85%. Berdasarkan hasil penelitian ini dapat disimpulkan bahwa menggunakan metode eksperimen dapat meningkat hasil belajar IPA siswa kelas IV SD Negeri 1 Kambowa.
Idealisme dan Realita Mahasiswa Lulusan Sarjana Pendidikan Bilingual
Authors: Jannah Nur
Published: February 2025

Di era globalisasi saat ini, bahasa Inggris memainkan peran penting dalam kemajuan pendidikan. Bahasa Inggris berfungsi sebagai jembatan komunikasi antarbangsa di seluruh dunia, menjadikan kemampuan berkomunikasi dalam bahasa Inggris sebagai hal yang esensial. Seiring perkembangan pendidikan yang merespons globalisasi, hal ini sangat memengaruhi konsep pengajaran dan pembelajaran bahasa Inggris. Pendidikan bilingual telah menjadi pendekatan yang diperlukan, yang merangsang kemampuan kognitif, terutama dalam fungsi kognitif, dan mendorong program bilingual. Artikel penelitian ini bertujuan untuk memberikan pemahaman tentang pendidikan bilingual di universitas. Artikel ini dimulai dengan membedakan antara bilingualisme dan pendidikan bilingual, serta mengeksplorasi hubungan antara proses bilingual dan fungsi eksekutif. Artikel ini menggunakan pendekatan kualitatif deskriptif dengan mengacu pada referensi-referensi terpercaya yang relevan dengan topik yang dibahas. Penelitian ini mengkaji visi idealis versus tantangan praktis yang dialami oleh lulusan program pendidikan bilingual. Umpan balik dari alumni mengenai program bilingual sebagian besar positif, dengan banyak lulusan yang merasa program ini bermanfaat. Program ini memfasilitasi berbagai kegiatan bilingual yang meningkatkan keterampilan dan kompetensi bahasa siswa, menghasilkan lulusan dengan kualitas tinggi. Aspirasi idealis dan pengalaman dunia nyata mayoritas lulusan dapat menjadi perspektif positif untuk reformasi pendidikan di Indonesia.
Kata Kunci: bilingual, bilingualisme, perkembangan kognitif, fungsi eksekutif, pendidikan bilingual di universitas
Dampak Prilaku Body Shaming Terhadap Korban Dalam Pandangan Psikologis
Authors: Suherman Suherman , Nursalimi Nursalimi , Afifah Nur Izzati
Published: February 2025

Perilaku body shaming merupakan tindakan mengomentari, mencela, mengkritik atau merundung fisik (kondisi tubuh) seseorang dengan tujuan untuk mempermalukan, hal ini disebabkan kondisi fisik yang dimiliki individu tersebut dinilai tidak sesuai dengan standar citra tubuh yang berlaku dan layak untuk dipermalukan. Dampak dari perlakuan body shaming dapat mengakibatkan korban menjadi minder dan kurang percaya diri. Tujuan penelitian ini untuk mengetahui perilaku body shaming perspektif Al-Qur’an dan hadis Nabi. Metode yang digunakan adalah kualitatif-deskriptif melalui studi kepustakaan (library research). Hasil atas kajian ini, 1) Pengertian Body Shaming. 2) jenis-jenis body shaming. 3) Dampak bagi korban perilaku body shaming dalam sudut pandang psikologi. 4) Body shaming menurut Al-Qur’an Hadis dan solusi menghentikannya.
Dekonstruksi Karya Sastra Ahmad Tohari Tentang Perempuan dalam Perspektif Poskolonial
Authors: Aisyah Nur , Marsalena Nindy Ade , Rita Wa Ade , Wati Kristin Lita , Sudarsana I Wayan , Suhartien Inten
Published: February 2025

Tujuan dari penelitian ini adalah untuk menemukan makna implisit terhadap karya sastra Ahmad Tohari Tentang Perempuan sebagai kelompok subaltern dalam perspketif poskolonial oleh G. Spivak yang menyatakan bahwa diantara kelompok yang paling banyak menjadi korban dari kolonialisme adalah kaum perempuan. Data penelitian ini diperoleh dalam  karya sastra Ahmad Tohari tentang perempuan seperti; novel Bekisar Merah, novel Ronggeng Dukuh Paruk, dan kumpulan cerita pendek Rusmi Ingin pulang. Teknik pengumpulan data dengan empat teknik analisis data, yaitu identifikasi, klasifikasi, analisis dan deskripsi. Hasil penelitian ini menunjukkan (1)karya sastra Ahmad Tohari tentang perempuan merupakan karya sastra poskolonial yang menunjukan  ideologi koloni dalam tubuh pribumi yang melekat dan masih membedakan posisi kelompok seuperior dan inferior, kita (us) dan mereka(them), pusat dan pinggiran dan  perempuan selalu menjadi kelompok yang inferior, them, dan terpinggirkan. (2)Karya sastra Ahmad Tohari tentang perempuan sebagai kelompok subaltern merupakan sebuah manipulasi oleh kelompok representative dari subaltern tersebut.
Association of Serum Uric Acid-to-Creatinine Ratio with Non-Alcoholic Fatty Liver Disease in the Population of Sargodha
Authors: Rasheed Saima , Shahid Amina , Sarfraz Abubakar , Tabassum Saima , Mudassar Sahar , Habib Bilal
Published: February 2025

Non-alcoholic fatty liver disease (NAFLD) is a growing global health concern, particularly in regions with high obesity rates. Objectives: To evaluate the serum uric acid to serum creatinine (sUA/sCr) ratio as a potential diagnostic biomarker for NAFLD in a Pakistani population. Methods: This cross-sectional study was conducted at the Department of Biochemistry, Niazi Medical and Dental College, Sargodha, from November 2023 to April 2024, with 246 participants presenting with signs and symptoms of NAFLD. Clinical and biochemical parameters, including BMI, waist circumference, blood pressure, fasting blood sugar, lipid profile, high-sensitivity C-reactive protein (hs-CRP), and liver enzymes, were assessed. Logistic regression was used to examine the relationships between these factors and NAFLD prevalence and severity. The serum uric acid/serum creatinine (sUA/sCr) ratio was evaluated as a potential biomarker for severe NAFLD. Data were analyzed using SPSS version 26.0 with ANOVA, chi-square tests, t-tests, and logistic regression. Results: NAFLD prevalence was 39%, with physical activity reducing the risk (OR: 0.65, p=0.015) and age, obesity, hypertension, high blood sugar, cholesterol, triglycerides, and hs-CRP identified as risk factors. Severe NAFLD was associated with increased waist circumference, hypertension, inflammation, and BMI. The sUA/sCr ratio demonstrated excellent predictive accuracy for severe NAFLD (AUC 0.90, sensitivity 85%, specificity 80%, p<0.001). Conclusions: It was concluded that sUA/sCr ratio was a promising non-invasive biomarker for diagnosing and assessing NAFLD severity in the population of Sargodha.
An Earth Saver’s Commitment of Capiz State University, Faculty and Staff: an Assessment of Capsu Mission on Environmental Consciousness
Authors: Obligar Philomel Innocent P. , Dayal Elizabeth , Contreras Eric Esteban
Published: February 2025

The only planet where life is consistently present is Earth. In light of this, we believe it is crucial to create a feeling of urgency about protecting Mother Earth from various actions that endanger the globe. Since the earth is absolutely essential to human life, it must be safeguarded. If superior beings like humans are dedicated, they can find solutions to environmental issues. We have obligations to Mother Earth as an educational institution and as global citizens. In order to evaluate Capiz State University’s goal statement on environmental consciousness, this study was carried out to determine the Earth-savers’ dedication of its faculty and staff. 316 responders were chosen by stratified random sampling from the various universities. Using Google Forms, a survey questionnaire was utilized to collect data from the participants. Utilizing frequency, percentage, and mean, the collected data was examined. The majority of responders were married, female, and between the ages of 46 and 55. The three environmental issues that respondents are most concerned about are plastic pollution, global warming, and pollution of the air and water. Regarding single-use plastic, fresh food preservation, paper consumption, genetically modified organisms, food waste, vehicle emissions, composting, energy conservation, planting, ozone depletion, biodiversity loss, habitat degradation, climate change, air pollution, overpopulation, sea level rise, and waste to SAVE MOTHER EARTH, faculty and staff respondents were willing to commit.
Teaching Styles And Students’ Engagement Among Junior High Schools in Claveria Districts, Misamis Oriental
Authors: Quiblat Regie G. , Ubayubay Roie M.
Published: February 2025

This study aimed to determine the effect of teachers’ teaching styles on students’ engagement. Specifically, it aimed to describe the respondents’ characteristics; find the level of the respondents’ perceived teaching style; examine the respondents’ perceived assessment of affective and cognitive engagement; find the significant effect of teaching styles on students’ engagement; and determine the relationship between teaching styles and their characteristics. In this research , a purposive sampling procedure was used to obtain the 300 public junior high school students of Claveria Districts, Misamis Oriental, during the School Year 2023-2024. A combination of patterned and self-constructed questionnaire with descriptive statistics were used, along with a T-test, to test the significant effects of teaching styles on students’ engagement. Pearson Product Moment Correlation (r) was utilized to determine the vital relationship between teaching styles and respondents’ characteristics. The study found that among all teaching styles, expert style obtained the highest mean result and interpreted as very high. The respondents perceived affective and cognitive engagement as very positive. Teaching styles, except delegator, significantly affect students’ engagement. Further, based on students’ perceptions, their parents’ marital status and educational attainment are significantly related to teaching styles. In conclusion, it is essential to identify appropriate teaching styles based on students’ backgrounds. It is recommended to help create a holistic and practical learning environment. Further studies are needed to understand school environments’ influence on teaching styles and students’ engagement.
A Scalable and Impactful Model for Harnessing Artificial Intelligence and Cybersecurity to Revolutionize Workforce Development and Empower Marginalized Youth
Authors: Abisoye Ajayi , Akerele Joshua Idowu
Published: February 2025

The intersection of Artificial Intelligence (AI) and cybersecurity offers transformative potential to address workforce development challenges, particularly for marginalized youth. This paper proposes a scalable and impactful model leveraging AI and cybersecurity to revolutionize workforce development. The model focuses on equipping marginalized youth with in-demand skills in AI, cybersecurity, and related technologies to bridge the digital divide and foster economic inclusion. By combining AI-driven personalized learning pathways with hands-on cybersecurity training, the model empowers participants with technical expertise, problem-solving skills, and industry certifications, enabling them to compete in a rapidly evolving job market. Key components of the model include AI-powered skill assessment tools, adaptive training platforms, and cybersecurity simulation environments designed to mirror real-world scenarios. These tools identify individual learning needs, recommend tailored educational pathways, and provide immersive, practical experiences. The model also incorporates mentorship programs, industry collaborations, and internship opportunities to enhance employability and foster professional growth. By integrating AI technologies, such as natural language processing and machine learning, the program ensures continuous improvement, scalability, and accessibility, even in resource-constrained environments. This study highlights case studies of successful implementation in underserved communities, showcasing measurable impacts such as increased employment rates, reduced skill gaps, and improved cybersecurity awareness. The proposed model emphasizes inclusivity, targeting marginalized youth in rural and urban areas, and provides scalable solutions to address systemic inequities in workforce development. Challenges such as ensuring data privacy, addressing biases in AI algorithms, and maintaining affordability are critically examined, along with strategies for mitigation. The paper concludes with a call for cross-sector collaboration between policymakers, industry leaders, and educational institutions to support the widespread adoption of this model. By leveraging AI and cybersecurity innovations, this approach can serve as a catalyst for empowering marginalized youth, driving economic development, and creating a resilient and inclusive workforce.
The Release Kinetics of Long-Lasting Tracer Particles in Horizontal Wells
Authors: Yue Zhaoyan
Published: February 2025

In the context of China's ongoing development of unconventional oil and gas reservoirs, horizontal well segmental fracturing technology currently holds a dominant position. Accurate and effective monitoring of fracture parameters and production profiles is imperative for the efficient development of oil and gas resources. Tracer monitoring technology has emerged as a pivotal method for monitoring horizontal wells fractured in tight oil segments. This technology involves the injection of slow-release tracer particles into the fractured fracture, followed by the continuous monitoring of the tracer concentration during the fracture return period and the subsequent production process. The primary advantages of this approach include the ability to characterize fracture parameters of fractured fractures in tight oil horizontal wells and to monitor production profiles during normal production. This method provides a novel approach for real-time and cost-effective monitoring of the production dynamics of horizontal wells. Consequently, this study utilizes independently prepared samples of slow-release tracer particles to conduct an in-depth study of their release kinetic modeling on the basis of microscopic imaging observation. Microscopic observation revealed the existence of micropores, channels, and other structures within the long-acting tracer particles, which contributed to the stable release of the tracer active ingredient. The release kinetic model of the slow-release tracer particles demonstrates its capacity to approximately explain the release process of the tracer particles. The model also reveals that factors such as the diffusion coefficient, the solubility of the tracer components, the radius of the initial tracer components, and the mass of the tracer components per unit volume promote the release process. Conversely, the concentration of the solution to which the tracer particles are exposed has an inhibitory effect on the release process. The findings of this study establish a theoretical framework for the subsequent implementation of slow-release tracer particles in horizontal well fracturing and their comprehensive interpretation.
Numerical Simulation of Inverted Pear-shaped Landslide Based on Discrete Element Method
Authors: Bai Jinliang
Published: February 2025

Landslides are very common geological hazards. Due to the different forms, scales and types of landslides, their formation mechanisms are different, which in turn cause the degree of damage and treatment measures are also quite different. As a rare type of landslide, “inverted pear-shaped” landslide has special planar characteristics and formation mechanism. This paper analyzes and summarizes the different causes and formation processes of this type of landslide. MatDAM, a discrete element numerical simulation software, is used to numerically simulate the movement process of this type of landslide. According to the model comparison before and after each slide, the pushing and wrapping effect of the subsequent slide on the residual slide of the previous slide is obtained. From the perspective of numerical simulation, quantitative data support is provided for the qualitative formation mechanism study.
Inversion of Land Surface Temperature in Jinan City based on Landsat8 Data
Authors: Wang Kun
Published: February 2025

In recent years, remote sensing technology has become more and more mature, and a variety of land surface temperature inversion algorithms have been proposed, and how to use these related algorithms to summarize the change trend of land surface temperature and analyze the future urban development has become a research hotspot. Taking Jinan City as an example, this paper selects Landsat 8 OLI and TIRS remote sensing images in 2017 and 2018, uses ENVI software to use the atmospheric correction method to invert the temperature of the study area, and compares the measured data of 10 stations in Jinan with the inversion results of this study, with errors of 1.86 and 1.90, respectively, and uses linear regression analysis to obtain the correlation coefficients between the inversion temperature and the measured land temperature of 0.8815, respectively, 0.8756, that is, the correlation is high, and the rationality of using the atmospheric correction method to invert the surface temperature of Jinan City is obtained.
Reproductive Behavioral Observations of Two Isopsera Species (Orthoptera: Tettigoniidae: Phaneropterinae) under Laboratory Conditions
Authors: Muhammad Siddique Dayo  , Riffat Sultana
Published: February 2025

Observations on the reproductive behavior of Isopsera spinosa Ingrisch 1990 and I. pedunculata Brunner von Wattenwyl 1878 were made in the laboratory. Specimens were collected from different districts of Sindh, including Matiari, Mirpurkhas, Tando Allah Yar, Hyderabad, and Badin, from various habitats such as wheat fields, mango orchards, guava farms, and grassy areas. A total of sixty adult katydids were taken from the wild, paired, and raised in the laboratory (25°23'N, 68°24'E) under relative humidity ranging from 26% to 61% and temperature fluctuations between 28 ± 2°C and 39 ± 2°C. These conditions closely resembled the field environment. The insects were provided with grass and moistened feeding pellets (comproids). Eggs were collected daily from oviposition trays and transferred to Petri dishes placed on the chamber floor. Fresh food and water were supplied regularly. The optimal time for copulation in both species was similar, occurring in the morning. The duration of oviposition was 33 min for Isopsera spinosa and 53 min for I. pedunculata. The eggs' size, shape, color, and texture were analyzed. For Isopsera spinosa, egg measurements were 5.17–5.22 mm in length and 1.3–1.5 mm in width, while for I. pedunculata, the dimensions were 5.3–5.46 mm in length and 1.4–1.6 mm in width. Differences in the reproductive behaviors of Isopsera spinosa and I. pedunculata were also noted. The exploration of reproductive activities will be beneficial for implementing control measures at appropriate times.
A UTILIZAÇÃO DA BRINQUEDOTERAPIA COMO INSTRUMENTO DE APRENDIZAGEM NO ENFRENTAMENTO DAS HOSPITALIZAÇÕES PEDIÁTRICAS: UMA REVISÃO INTEGRATIVA
Authors: Nascimento Lília Costa , Cavalcanti Adilma da Cunha , Lira Jayara Mikarla de , Quiulo Larissa Dantas , Silva Miriam Maria Mota , Júnior Valquírio Gomes dos Santos
Published: February 2025

Este estudo aborda a utilização da brinquedoterapia como instrumento de aprendizagem no enfrentamento das hospitalizações pediátricas, destacando sua importância para o bem-estar emocional e cognitivo das crianças. A hospitalização é um processo que pode gerar estresse, medo e ansiedade nas crianças, afetando sua saúde mental e social. Nesse contexto, a brinquedoterapia se apresenta como uma abordagem eficaz, pois permite que as crianças expressem seus sentimentos, compreendam sua condição de saúde e desenvolvam resiliência. A metodologia empregada foi uma revisão integrativa da literatura, com análise de estudos publicados entre 2020 e 2024, utilizando as bases de dados PubMed, SciELO, LILACS, BDENF e CINAHL. Os resultados indicaram que a brinquedoterapia contribui, significativamente, para a redução do estresse, a promoção da aprendizagem e o fortalecimento da resiliência nas crianças hospitalizadas. No entanto, desafios como a falta de recursos e a necessidade de capacitação dos profissionais de saúde ainda limitam a plena implementação dessa prática. Conclui-se que a brinquedoterapia é uma ferramenta essencial para a humanização do cuidado pediátrico, e sua ampliação nos ambientes hospitalares pode proporcionar uma experiência mais positiva e enriquecedora para as crianças durante a internação.
MACROADENOMA HIPOFISÁRIO SECRETOR DE PROLACTINA E GH: UM RELATO DE CASO
Authors: Leal Thaís Alves Moraes Corrêa , Santana Lorayne Ugolini , Pereira Thatiane Gabriela Guimarães , Chen Vittor Pelanda , Barros Ygor Costa , Paulino Kaio Alves , Souza Mattheus Marques Rodrigues de , Falcão Tânia Renata Lopes
Published: February 2025

Os adenomas hipofisários são classificados por seu tamanho, sendo os microadenomas menores que 1 cm, e os macroadenomas maiores ou iguais a 1 cm. O adenoma hipofisário funcionante mais comum é o prolactinoma - aproximadamente 40% dos casos - sendo a causa mais comum de hiperprolactinemia patológica. Os adenomas secretores de GH correspondem cerca de um terço dos adenomas secretores de hormônio, sendo que 60% são “puros” e secretam apenas GH e os demais são considerados co-secretores, sendo mais comum a co-secreção de Prolactina e GH, como o caso da paciente em questão. Menos de 5% são caracterizados como pluri-hormonais. O diagnóstico é um desafio que envolve análise da sintomatologia, exame físico, história clínica e equipe multidisciplinar, podendo incluir além do endocrinologista, o radiologista e o neurocirurgião. O tratamento deve ser individualizado com base nas necessidades individuais do paciente, nos sintomas apresentados e nas características do tumor. Este estudo relata um caso de uma paciente com diagnóstico de Macroadenoma hipofisário cossecretor de Prolactina e GH, ressaltando os desafios no diagnóstico e tratamento.
ABORDAGEM DOS TRANSTORNOS SOMATOFORMES NA ATENÇÃO PRIMÁRIA À SAÚDE (APS)
Authors: Ribeiro Adaelle Dantas , Lacerda Davi Moura de , Queiroga Bruna Aurislânya de Sá , Bezerra Maria Alice Santos , Oliveira Laura Millena Silva de
Published: February 2025

Os Transtornos Somatoformes (TS) são um grupo de transtornos caracterizados por sintomas físicos sem alguma explicação médica ou lesões físicas que justifiquem a intensidade das manifestações relatadas pelos pacientes. Essas queixas e sintomas relatados causam sofrimento clínico e emocional significativo nesses indivíduos, de forma que a busca pelo atendimento na Atenção Primária à Saúde (APS) acontece de forma contínua, caso não haja uma abordagem eficaz e uma percepção detalhada sobre o quadro clínico.
The Story Behind the Peer Leader: Who I Am, What I’ve Faced, Who I Was, Who I’ve Become, What I’ve Been Given, and What We Can Create
Authors: Baca Francisco Xavier
Published: February 2025

Sharing my story helps me define the potential and true power of Peer-Led Team Learning (PLTL). This program is more than just facilitating learning. It is mentoring, coaching, relating, and shaping minds. Two years after I started serving as a Peer Leader, I am a different student and a different person than I once was. I have grown as a person, having to meet, work, and study with talented individuals. I have learned more ways to succeed. I have learned how to ask for help; and – very importantly – I’ve learned when to do so. Part of this story is to make sure the following goals are shared with my PLTL workshop students and the PLTL community: networking and finding a support system. As a Peer Leader, I want to see my students – and students everywhere – succeed, not just in chemistry but in all their classes. I want every student to have the same or better resources than I once had. PLTL makes that happen and has made me a better person. I share my experience of what this program has given me and what it could possibly give others too. PLTL can be the difference that helps students succeed.
Elements of Peer Leading
Authors: Valenzuela Camila , Monarrez-Grendahl Cassandra , Becvar James E.
Published: February 2025

This essay translates leadership experiences into symbols, depicting the roles, challenges, and opportunities that a Peer Leader, guiding multiple workshops in a PLTL Program over the course of a semester or more, encounters as a result of the experience of peer leading. Each peer-led experience, a Leader Element, is linked with a corresponding chemical element symbol representing a specific leadership quality. These analogies highlight how different aspects, like elements in the periodic table, work together to form a well-grounded and effective leader. Each Leader Element representation, listed in the order of elements in the periodic table, encompasses a consistent recurring theme for the essence of a valuable trait acquired during the leadership experience and provides a shared experience discussed during leader meetings. The physical representations of the Leader Elements can also provide a PLTL program with a series of symbolic badges. These badges could be used to represent stages, semesters, or accomplishments awarded to a Peer Leader during the progress of leadership development. This essay supports advice for newcomers to the peer leading position, describing the expectations, qualities, and traits acquired by being a part of the PLTL program during the experience of leading.
Finding Language for the Experience of PLTL
Authors: Dreyfuss A.E. , Howell Lesley , Barone Maria Cecilia , Delgado Sofia , Faulkner Sally , Fraiman Ana , Frye Robin , Shahid Redwan
Published: February 2025

The purpose of this paper is to share a means of communicating why Peer-Led Team Learning (PLTL) has provided a sense of deep connection among practitioners, including Peer Leaders, faculty and administrators. To arrive at finding the qualitative language of emotions, three discussion sessions were facilitated over the course of three days during the 11th Annual Conference of the Peer-Led Team Learning International Society (June 2023, University of Houston Downtown). Facilitators’ techniques, prompts and the necessary pivots used to question assumptions are presented. We found that despite the many variations in the institutions where PLTL is practiced, we are united in acknowledging the benefits and impact on the students and Peer Leaders involved. Our central finding is that acting as a Peer Leader in a PLTL program provides a multitude of benefits that extend beyond academic enrichment. In addition, while the outcomes of this process confirmed previous research findings about the impact of PLTL on peer leaders and students, the discussions also highlighted areas that the PLTL community is not currently focusing on and that could be further explored in a systematic way, such as the benefits of PLTL from the perspective of faculty and administrators. The authors encourage practitioners to guide facilitating such a discussion at their individual institutions.