bluuebunny/crossref_metadata_2025 huggingface dataset:
Educación digital, creaciones artísticas y formación del profesorado
Authors: Huerta Ricard , Rodríguez-López Ramona
Published: November 2024

En la presente investigación se analiza el proceso y la evolución de una triple acción artística desarrollada en la Universidad Politécnica de Valencia, con piezas elaboradas por alumnado de la Universitat de València. El tema abordado es la educación digital, aspecto sobre el que ha reflexionado el alumnado de la materia “Propuestas didácticas en educación artística”, una asignatura optativa de la mención de Artes y Humanidades que forma parte de los estudios de Grado de Maestro/a de Educación Primaria. En 2022, 2023 y 2024 se han elaborado sendas exposiciones con instalaciones artísticas realizadas por maestros y maestras en formación. Las muestras han sido presentadas en el Museo de Informática de la Universidad Politécnica de Valencia. Mediante un estudio de caso se hace balance de lo acontecido y de los resultados obtenidos, utilizando para ello la Investigación Basada en las Artes. El efecto motivador que supone este tipo de experiencias formativas donde se implica al museo como entidad colaboradora permite determinar las ventajas de esta modalidad de taller participativo con creaciones originales, generando así una tipología de prácticas docentes en educación artística que opta por incorporar las problemáticas actuales, mediante reflexiones de tipo social, político y cultural. Se investiga desde la propia práctica docente, implicando al alumnado universitario en un modelo participativo y colaborativo.
Desarrollo de la escritura colaborativa: desafíos de su implementación mediante herramientas digitales
Authors: Glenda Benoit Ríos Claudine
Published: November 2024

La implementación de la escritura mediante herramientas digitales reviste un importante desafío para el proceso de enseñanza-aprendizaje. Bajo esta premisa, el objetivo general de la investigación fue analizar la producción colaborativa de ensayos, a través de Google Docs. Participaron 32 profesores en formación de pedagogía en educación básica, seleccionados mediante un muestreo no probabilístico intencional. Desarrollado bajo un enfoque mixto, el estudio tuvo un alcance descriptivo. La recogida de datos se efectuó por medio de tres procedimientos: la observación y registro de las interacciones, el análisis de la retroalimentación virtual y el análisis de las respuestas a un cuestionario online. Entre los principales hallazgos, se encuentran dificultades para organizar eficientemente los tiempos, impedimentos para consensuar puntos de vista, obstáculos para tomar decisiones en entornos no presenciales y limitaciones para la selección de la información, para la elección de argumentos incorporados en el ensayo y para la realización de reflexiones grupales.
Exploring Technology Adoption Level of Accounting Tools by University Students in Pakistan: A Qualitative Approach
Authors: Ali Gill Atif , Sultan Hina , Ali Shahbaz
Published: November 2024

The aim of this study is to understand the factors which are influencing the green purchase behavior of customers in the context of emerging economy. It focuses on the behavior of consumers towards environment-friendly products; green products interest in Pakistan has been increasing meaningfully due to the increased interest in green environment electronic products. Data were collected through individual semi-structured interviews with 12 professionals from the education and healthcare industry with at least half of the participants aged 42 and above. The transcripts were analyzed thematically through Nvivo 14 with the coding process for generating main and sub-themes informed by TAM theory for interpretation. Four main themes emerged within the healthcare and educational institute's narratives. They identified with (1) The eco-friendly products, (2) the sustainable environment, (3) green purchase, behavioral intentions and (4) Social influence themes were made. This study shows that a narrative thematic analysis can be used to explore the factors which are influencing green consumer purchase intention. Further, the policy maker and strategist should plan green advertising for awareness among common users.This study is one of the first to focus on the impact of green purchase intentions towards eco-friendly products in Pakistan and best to our knowledge it is a novel contribution to qualitative research.
Strangely enough: The rise of a sentence- adverbial construction
Authors: Kinn Torodd
Published: November 2024

Previous research has found that Norwegian has one productive sentence-adverbial construction, viz. expressions such as underlig nok ‘strangely enough’. Their constituents are an adjective in the positive indefinite singular neuter and the word nok, originally ‘enough, sufficient(ly)’. Research on Swedish indicates that such sentence adverbials started to appear in the late 18th century, and possible origins have been suggested. This article presents a study of 18th and 19th century texts with the aim of determining the origins of this construction. The evidence best supports a language-internal development from predicate complements of a preceding or matrix clause.
Sacralisation of Land and Seascapes on the West Coast of Norway – A Reality or Misconceptions on Renaissance Maps?
Authors: Tvedt Jostein
Published: November 2024

The paper discusses the geographical sacralisation that seems to be present in sixteenth- and early seventeenth-century maps of the land and seascapes around Bergen on the Norwegian west coast. The hagiotoponyms may represent foreign mapmakers’ misconceptions when faced with unfamiliar and incomprehensible local place-names. That is, the toponyms’ original meaning may have been secular and the origin Norse. Alternatively, the maps may correctly reproduce and preserve medieval sacral place names, of which meaning subsequently has been lost. The toponyms that are discussed are Sotra, Krossfjord and Lyse, which may be linked, respectively, to the prominent medieval religious institutions of the region, the Benedictine Munkeliv Abbey, the Cross Church of Fana and the Cistercian Lyse Abbey.
Through the lens of causal inference: Decisions and pitfalls of covariate selection
Authors: Chen Gang , Cai Zhengchen , Taylor Paul A.
Published: November 2024

The critical importance of justifying the inclusion of covariates is a facet often overlooked in data analysis. While the incorporation of covariates typically follows informal guidelines, we argue for a comprehensive exploration of underlying principles to avoid significant statistical and interpretational challenges. Our focus is on addressing three common yet problematic practices: the indiscriminate lumping of covariates, the lack of rationale for covariate inclusion, and the oversight of potential issues in result reporting. These challenges, prevalent in neuroimaging models involving covariates such as reaction time, demographics, and morphometric measures, can introduce biases, including overestimation, underestimation, masking, sign flipping, or spurious effects.

Our exploration of causal inference principles underscores the pivotal role of domain knowledge in guiding covariate selection, challenging the common reliance on statistical measures. This understanding carries implications for experimental design, model-building, and result interpretation. We draw connections between these insights and reproducibility concerns, specifically addressing the selection bias resulting from the widespread practice of strict thresholding, akin to the logical pitfall associated with “double dipping.” Recommendations for robust data analysis involving covariates encompass explicit research question statements, justified covariate inclusions/exclusions, centering quantitative variables for interpretability, appropriate reporting of effect estimates, and advocating a “highlight, don’t hide” approach in result reporting. These suggestions are intended to enhance the robustness, transparency, and reproducibility of covariate-driven analyses, encompassing investigations involving consortium datasets such as ABCD and UK Biobank. We discuss how researchers can use a transparent depiction of the covariate relationships to enhance the ethos of open science and promote research reproducibility.
Quantitative and qualitative study of phenolics in leaves of Astragalus species growing in various regions of Iran.
Authors: Ghanbarzadeh Mahboobe , Niknam Vahid , Shaki Fatemeh , Ebrahimzadeh Hasan ,   Department of Plant Biology, School of Biology, College of Science, University of Tehran, Tehran, Iran, Fazeli Faezeh ,   Department of Environment, Shahid Rajaee Teacher Training University, Tehran, 16788-15811, Iran, Ahmadi Tayebeh ,   Department of Medical Laboratory Science, College of Science, Knowledge University, Kirkuk Road, Erbil 44001, Iraq, Hassannejad Sahar ,   Department of Medical Laboratory Science, College of Science, Knowledge University, Kirkuk Road, Erbil 44001,  Department of Biology, College of Science, Salahaddin University-Erbil, 44002 Erbil, Iraq
Published: November 2024

Astragalus L. is the largest genus in the Fabaceae family and Iran is considered as one of the most important centers of the genus. In this study, phenolic contents were investigated in the leaves of ten Astragalus species, using spectrophotometric and GLC methods. The study showed that the highest level of phenolics and flavonols were detected in A. glumaceus and A. aegobromus species, respectively. Further, the greatest content of phenolic acids and flavonoids were observed in A. caraganae. Besides, A. siliqusus had the highest level of o-diphenols. Gas-liquid chromatography (GLC) analysis of phenolic compounds showed that syringic acid, p-coumaric acid, caffeic acid, and dihydroxy benzoic acid were predominate phenolic acids in these species. The present study revealed that Astragalus species used in this experiment are a good source of phenolic compounds and antioxidants, and therefore, can be introduced as potent natural sources for medicinal and industrial purposes.
Severity of Cholecystitis and Gallstone Size Association.
Authors:   House No. 741, Street No. 40, Defence Villas, Sector F, Rafi Extension, Phase 7, Bahria Town, Rawalpindi, Pakistan., Farooqui Akbar
Published: November 2024

Objective: To determine the association between severity of cholecystitis and gallstone size. Study Design: Cross-sectional study. Place and Duration of Study: Department of Surgery, Combined Military Hospital, Rawalpindi, from 22nd August 2024 to 21st September 2024.
Tromboembolectomia em um Paciente com Oclusão Arterial Aguda no Membro Inferior e Evolução Pós-Operatória Complexa: Desafios na Prática Hospitalar de Emergência
Authors: Guarachi Juan Manuel Yampara , Rocha Ana Paula de Carvalho Miranda Rosati , Habibe Julia , Maillard Noemi Fourcroy , Gaeta Giovanna Jurcunas de Oliveira , Da Silva Felipe Ramon Menezes , Sant’anna Pedro Gomes , Rodrigues Carolina Lacerda , Rosati Rocha Luis Fernando
Published: November 2024

Relatamos o caso de uma paciente idosa com quadro de oclusão arterial aguda de membro inferior, diagnosticada e tratada com tromboembolectomia emergencial. A paciente evoluiu com complicações pós-operatórias, incluindo síndrome de reperfusão com injúria renal aguda, necessitando de suporte dialítico, além de uma infecção urinária tratada com antibioticoterapia. A evolução foi monitorada com exames laboratoriais e clínicos, culminando na alta com orientações para seguimento ambulatorial. Este caso ilustra os desafios na gestão de oclusões arteriais agudas em pacientes idosos, com enfoque nas complicações associadas ao procedimento e à hospitalização prolongada.
Sustainable finance: Predictive modeling of ESG indicators on Indian stock market
Authors: Surenthran David , Ramasundaram G. , Vincent Durai Raj , Duraimurugan S. , Vasudevan Asokan , Hunitie Mohammad , Mohammad Sulieman
Published: November 2024

The global investment landscape has undergone a paradigm shift, focusing on Environmental, Social, and Governance (ESG) factors as the major determinants of financial sustainability in investment decisions worldwide. This study uses predictive modeling to analyze the complex link between ESG variables and investment decisions. Focusing on three key sectors: IT, FMCG, and BFS, the study adopts a predictive modeling approach, recognizing the distinct characteristics and challenges within each sector. The information depends on the data obtained from different places like ESG details, and previous financial performance pointers – EBITDA, EPS, ROE, and P/E for 2018 to 2022, inclusive of general investor behavior. We can do this by working with relevant sources of data together with machine learning methods which show what happens in the Indian market in terms of ESG influencing the market thus leading to sustainable investment outcomes. This article seeks to comprehend why investors may favor sustainability as opposed to their conventional monetary units.
Docência, currículo e processos culturais
Authors:   Geide Rosa Coelho,   Rosianny Campos Berto,   Silvana Ventorim
Published: November 2024

“A obra Docência, currículo e processos culturais, organizada pelo professor Geide Rosa Coelho e pelas professoras Rosianny Campos Berto e Silvana Ventorim, reúne um conjunto diverso de pesquisas que vêm sendo desenvolvidas no âmbito da linha: Docência, Currículo e Processos Culturais (DCPC), do Programa de Pós-Graduação em Educação da Universidade Federal do Espírito Santo (PPGE/Ufes). A Universidade, mais especificamente os programas de pós-graduação, têm sido um espaço científico de produção de conhecimento e simultaneamente de sua socialização. Nessa linha, podemos considerar este livro como uma dessas produções que dinamizam os conhecimentos, colocam em análise o campo de estudos e possibilitam a socialização desses conhecimentos sistematizados pela Ufes. Os textos refletem perspectivas diversas, evidenciando a convivência de diferentes aportes teóricos que se organizam em duas partes: Processos Formativos e Trabalho Docente; e Currículos, Culturas e Processos Formativos, ambas as partes contribuindo com seis capítulos. A primeira dialoga sobre políticas e percursos de formação inicial e continuada, e atividade profissional de professores/as; a segunda agrega investigações que problematizam a produção curricular na relação com a formação docente em diferentes perspectivas. As produções foram constituídas em uma dinâmica acadêmica docente-discente, criando condições de aprendizagens mútuas. Refletem momentos recentes das condições cotidianas, seja pela via de sua história de produção acumulada, seja por diálogos com os cotidianos. De maneira contundente, os textos historicizam, questionam a realidade e evidenciam “possíveis” para a formação docente, seus saberes-fazeres e sobre os currículos.”
Thực trạng quản lý hoạt động kiểm tra nội bộ ở các trường trung học phổ thông huyện Tam Nông, tỉnh Đồng Tháp
Authors: Phạm Minh Giản , Trần Bá Triều , Phạm Thanh Nhiệm
Published: November 2024

Nghiên cứu này tập trung khảo sát và đánh giá thực trạng quản lý hoạt động kiểm tra nội bộ tại các trường trung học phổ thông huyện Tam Nông, tỉnh Đồng Tháp. Cụ thể, nghiên cứu tiến hành khảo sát 100 cán bộ quản lý và giáo viên tại các trường, sử dụng các phương pháp thu thập dữ liệu như bảng hỏi, phỏng vấn trực tiếp và quan sát các văn bản quản lý. Mục tiêu nhằm phân tích nhận thức của cán bộ quản lý, giáo viên về vai trò, nhiệm vụ và phương thức thực hiện kiểm tra nội bộ, đồng thời xác định những yếu tố ảnh hưởng đến quản lý hoạt động này. Kết quả nghiên cứu cho thấy, hoạt động kiểm tra nội bộ tại các trường trung học phổ thông huyện Tam Nông đã góp phần nâng cao chất lượng giáo dục, tuy nhiên vẫn tồn tại nhiều hạn chế như: chưa đồng bộ trong tổ chức thực hiện, phương pháp kiểm tra chưa phong phú, và vai trò quản lý chưa phát huy tối đa hiệu quả. Từ đó, tác giả đề xuất một số biện pháp cải tiến quy trình quản lý kiểm tra nội bộ nhằm nâng cao hiệu quả kiểm tra nội bộ trong bối cảnh đổi mới giáo dục. Các kết quả nghiên cứu có thể làm cơ sở cho các chính sách cải tiến quản lý kiểm tra nội bộ trong các trường Trung học phổ thông khác trên địa bàn tỉnh Đồng Tháp.
The Usage of Zataria Multiflora Essential Oil for the Treatment of Wound Infection Caused by Ciprofloxacin-Resistant Pseudomonas aeruginosa
Authors: Ahmad Sahab Al-Zamani
Published: November 2024

Zataria multiflora essential oil (ZMEO) effectively inhibited the growth of different microorganisms. The present study aimed to investigate the synergistic effect of ZMEO in combination with ciprofloxacin for inhibition of ciprofloxacin-resistant P. aeruginosa (CR P. aeruginosa) and management of wound infection that was caused by this bacterium in the rat. ZMEO was prepared and analyzed using gas chromatography (GC). The minimum inhibitory concentration (MIC) of the this compound was determined against CR P. aeruginosa. The inhibitory effect of ZMEO was evaluated against efflux pump-related genes using real-time PCR. The synergistic effect of ciprofloxacin and ZMEO was evaluated using the checkerboard method. Afterward, the ZMEO was used to treat CR P. aeruginosa wound infection in the Wistar rats model. The ZMEO exhibited a MIC of 512 μg/mL against CR P. aeruginosa, and this compound suppressed the expression of efflux pump-related genes. A synergistic effect between ZMEO and ciprofloxacin was detected against CR P. aeruginosa. The in vivo findings also revealed that ZMEO exhibited a substantial inhibitory effect on bacterial growth in animal wounds (P < 0.05). The macroscopic evaluations indicated a notable improvement in wound healing in the animals treated with ZMEO. Tissue evaluation also demonstrated that this treatment significantly augments re-epithelialization and decreased inflammatory cells (P < 0.05). Therefore, combining ZMEO and ciprofloxacin can significantly inhibit CR P. aeruginosa, and ZMEO should be considered a helpful promise for managing wound infection caused by drug-resistant bacteria.
Rezension von: Liedl, Herbert, Schukraft, Harald, Gärten und Parks in Baden-Württemberg
Authors: Setzler Sibylle , Liedl Herbert , Schukraft Harald
Published: November 2024

Herbert Liedl und Harald Schukraft: Gärten und Parks in Baden-Württemberg. Stürtz Verlag Würzburg 1993. 128 Seiten mit 104 Abbildungen, davon 88 in Farbe. Gebunden DM 58,-
Rezension von: Henze, Anton, Bering, Kunibert, Wiedmann, Gerhard, Kunstführer Rom
Authors: Setzler Wilfried , Henze Anton , Bering Kunibert , Wiedmann Gerhard
Published: November 2024

Anton Henze, Kunibert Bering und Gerhard Wiedmann:Kunstführer Rom. Philipp Reclam jun. VerlagStuttgart. 5., weitgehend veränderte, völlig neu bearbeiteteAuflage 1994. 448 Seiten mit 171 Fotos, Rissen, Plänenund Übersichtskarten sowie 26 Farbabbildungen. GebundenDM 89,-
‘They wouldn’t meet the threshold’ – reflections of CAMHS workers supporting young people experiencing precarious housing
Authors: Robinson Kellie , Lawson Heather , Gilmour Heather
Published: November 2024

As a Substance Use Prevention Service within the Specialist Child and Adolescent Mental Health Services (S-CAMHS) within Hywel Dda University Health board (HDUHB), our primary focus is supporting young people at risk of substance use to manage their mental health difficulties, while also addressing their individual needs, including those who are homeless or in temporary accommodation.

A focus group was conducted to reflect on how our service approaches supporting this particularly vulnerable population with their intersecting difficulties.

‘Barriers’, ‘efforts to reduce barriers’, ‘challenges of working this way’ and ‘future focus’ are discussed and recommendations for practice are suggested.

These findings will be built upon during a formal service evaluation process which is currently underway.
Iran's 2024 Parliamentary and Presidential Elections: An Analysis
Authors: Boroujerdi Mehrzad
Published: November 2024

This article critically analyzes the results of the twelfth Majles elections held concurrently with the sixth Assembly of Experts elections in March 2024, and the Presidential election held in June/July 2024. It is maintained that the Majles election was engineered to lead to the consolidation of power by conservative forces at the expense of popular legitimacy. Still, a plethora of intriguing developments worthy of scrutiny were unveiled. These included (a) the largest number of registered Majles candidates (including the largest number of female candidates), (b) the most favorable candidates-to-seats ratio to date, (c) a record number of candidates forced to run in runoff elections. In the Presidential contest vote splitting by five conservative candidates enabled the sole moderate reformist candidate to emerge victorious, albeit with the narrowest margin of victory ever. Both the Majles and presidential elections also marked the lowest level of voter turnouts for these bodies over the last four decades.
Restoration of ancient Arabic manuscripts: a deep learning approach
Authors: Miloud Kamline , Abdelmounaim Moulay Lakhdar , Mohammed Beladgham , Ilyas Bendjillali Ridha
Published: November 2024

This paper explores the application of modern deep learning methodologies to the restoration of highly valuable ancient Arabic manuscripts, a task of immense cultural and historical importance. Our approach meticulously guides readers through the experimental process, placing a strong emphasis on crucial components such as the selection of appropriate loss functions, the architecture of hidden layers, and the optimization techniques used. The results of our research are nothing short of extraordinary, particularly with the implementation of the proposed Modified Attention-Based Bidirectional Long Short-Term Memory (M-AB-LSTM) model, which achieved an outstanding accuracy rate of 99.50%. This work transcends traditional image enhancement techniques; it plays a pivotal role in not only making fragments of our rich cultural heritage accessible but also in ensuring the preservation of these priceless and unique artifacts for future generations. Such an effort is of profound significance to humanity as a whole. Additionally, we highlight the extensive and labor-intensive process involved in manually curating finely tuned and accurately classified datasets, which includes a comprehensive collection of 3,745 ancient Arabic manuscripts.
Investigation of fracture behavior in mode I and II for repaired edge-inclined cracks with trapezoidal composite patches
Authors: Achour Toufik , Hamadi Billel , Boucherma Djamel , Chorfi Sofiane , Cherrad Mohamed Lotfi , Chaour Mohamed
Published: November 2024

Numerous studies have shown the effectiveness of composite patch repairs. However, many of these investigations primarily address the enhancement of repaired components' lifespans, focusing mainly on opening mode (Mode I). In real-world applications, cracked components often undergo mixed mode loading that includes both Modes I and II. This article examines the stress intensity factors for Modes I and II in relation to the fracture behavior of a tensile-loaded aluminum plate (Al 7075) featuring a 45° inclined lateral crack repaired on both sides with a unidirectional graphite/epoxy composite trapezoidal patch. A three-dimensional finite element model of the repaired specimen is employed to explore how composite patching affects critical crack tip parameters (KI, KII, and stresses). This approach demonstrates how the properties of the composite and adhesive impact the repaired structure's behavior and the effectiveness of the bonded composite patch. The findings reveal that trapezoidal composite patch can significantly reduce the stress intensity factors KI and KII, thereby extending the service life of cracked structures.
A parametric approach for daylight performance optimization of school building’s classroom
Authors: Nesma Fercha , Akila Benbouaziz , Djamel Alkama
Published: November 2024

Achieving a balance between visual comfort and high-quality daylighting in school buildings located in semi-arid climates requires careful consideration of design elements such as window glazing and shading devices. This study proposes an analytical approach using parametric modeling to efficiently assess daylighting and visual comfort in classrooms. To evaluate these factors, Spatial Daylight Autonomy (sDA) and Annual Sunlight Exposure (ASE) metrics are applied. The findings suggest that optimal daylighting performance can be achieved using interior light shelves or exterior louvers on south-facing windows, combined with specific glazing properties. Exterior louvers of varying sizes also prove effective for regulating daylight. The parametric modeling approach enables the exploration of multiple design options, allowing architects to identify efficient strategies for balanced lighting conditions within a short period. This research provides valuable guidance for designing energy-efficient and comfortable learning environments, helping professionals make informed decisions on achieving a balance between visual comfort, daylight availability, and energy efficiency in semi-arid climates.
Evaluating the mechanical properties and durability of portland cement mortars with sewage sludge ash as a partial replacement
Authors: Debieche Messaouda , Mekbel Souad , Ouldkhaoua Younes , Nechnech Ammar , Belkadi Hadjer
Published: November 2024

This study explores the valorization of sewage sludge ash (SSA) as a sustainable partial cement replacement in Portland cement mortars, aligning with environmental and performance-driven objectives. SSA was subjected to a two-step thermal treatment: dried at 105°C, then calcined at either 550°C (BC550) or 700°C (BC700). Comprehensive physicochemical and mineralogical characterizations were performed, followed by the preparation of mortar samples with 0%, 5%, 10%, 15%, and 20% SSA substitution by mass. The mechanical properties, apparent porosity, resistance to sulfate attack, and chloride ion penetration were rigorously assessed.The results demonstrated that BC550 and BC700 significantly influenced mortar performance. Mortars with 5% BC550 and 10% BC700 exhibited optimal mechanical strength, with 5% BC550 achieving the best balance between strength and durability. The 5BC550 samples maintained comparable chloride ion resistance to the control, indicating minimal impact on permeability, while showing enhanced resistance to sulfate attack. In contrast, 10% BC700 substitution, despite initial strength gains, led to increased porosity and reduced resistance to chemical degradation. The study reveals that calcining SSA at 550°C is sufficient to enhance mortar performance without compromising environmental sustainability, positioning 5% BC550 as an eco-friendly alternative for partial cement substitution. These findings underscore the dual benefit of mitigating waste and reducing cement consumption in construction materials.
Discussion on the Teaching Reform of Ecological Environment Planning Course under the New Situation
Authors: Zhang Mingliang , Xu Baogang , Wang Haixia
Published: November 2024

The course of ecological environment planning is a comprehensive, interdisciplinary and practical course for environmental and related majors in colleges and universities. However, at present there are some problems in course teaching, such as paying more attention to theory and less attention to practice, ignoring the cultivation of students' practical ability, which makes it difficult for students to solve practical problems. Under the new situation, in order to improve the teaching effectiveness of ecological environment planning course and cultivate students' practical application ability, it is necessary to reform the teaching content and teaching method of this course. Based on the analysis of the current teaching situation, this paper puts forward the relevant measures and suggestions, such as updating and optimizing the teaching contents, emphasizing the case practice teaching, integrating the ideological and political contents, trying new teaching technology methods, paying attention to the cultivation of application and innovation ability, and reforming the evaluation methods for students’ performance.
Preface: 5th International Conference on Education and Educational Development (EED 2024)
Authors: Wu Benqing , Karsten Stacey
Published: November 2024

It was a great honor to extend a warm invitation to the 5th International Conference on Education and Educational Development (EED 2024). The conference was held from October 26-27, 2024 in Suzhou City, China. EED 2024 was co-organized by Hubei Xuemi Cultural Development Co., Ltd. and Research Center of Engineering and Science (RCES).
The aim of EED 2024 is to provide a platform for educators, scholars, managers and graduate students from different cultural backgrounds to present and discuss research, developments and innovations in the fields of Education, Educational Development & Social Science. It provides opportunities for the delegates to exchange new ideas and application experiences, to establish business or research relations and to find global partners for future collaboration.
EED 2024 received 91 manuscripts. And less than 50 submissions had been accepted by our reviewers. By submitting a paper to EED 2024, the authors agreed to the review process and understood that papers undergo a peer-review process. Manuscripts were reviewed by appropriately qualified experts in the field selected by the Conference Committee, who gave detailed comments and-if the submission was accepted the authors would submit a revised version that considered this feedback. All papers were reviewed using a double-blind review process: authors declared their names and affiliations in the manuscript for the reviewers to see, but reviewers did not know each other’s identities, nor did the authors receive information about who had reviewed their manuscript. The Committees of EED 2024 invested great efforts in reviewing the papers submitted to the conference and organizing the sessions to enable the participants to gain maximum benefit.
Hopefully, all participants and other interested readers will benefit scientifically from the proceedings and also find it stimulating in the process.
With our warmest regards,
Benqing Wu, Stacey Karsten
Conference Organizing Committees
Integrating Artificial Intelligence into Multimedia Education: An In-Depth Analysis of Software Applications
Authors: Ren Xinling
Published: November 2024

This paper explores the application of artificial intelligence in multimedia education, emphasizing its improvement in educational personalization and efficiency. The introduction of artificial intelligence has not only changed the traditional teaching model, but also enhanced the interaction between teachers and students through automated tools and interactive platforms. Studies have shown that artificial intelligence can help teachers improve teaching efficiency, provide timely feedback on students' learning, and provide students with customized learning experiences. In addition, artificial intelligence technology promotes educational equity, supports multilingual learning and education for special students. In the future, with the advancement of technology, artificial intelligence will play an increasingly important role in education and promote educational innovation and development.
Exploration of Innovative Practice in College English Listening and Speaking Teaching in a Blended Learning Environment
Authors: Xiong Qinyi
Published: November 2024

In the evolving landscape of higher education, the integration of technology in language instruction has become increasingly prevalent, leading to the rise of blended learning environments. This paper delves into the innovative practices being explored in college English listening and speaking teaching within such settings, aiming to assess their impact on student engagement and language acquisition. The research underscores the significance of incorporating authentic and multimedia-rich content, adopting student-centered and interactive teaching methods, and utilizing a variety of digital tools to facilitate learning. The findings reveal that while blended learning environments offer flexibility and the potential for personalized learning experiences, they also present challenges. These include ensuring equal access to technological resources, training educators to effectively integrate technology into their teaching, and developing assessment methods that accurately reflect student performance in non-traditional learning contexts. The study suggests that a well-planned and strategically implemented blended learning model can lead to significant improvements in English language teaching and learning outcomes. To address the challenges, the paper recommends that educators should select and design content that is relevant and engaging to students, employing a mix of traditional and digital materials. It also advises the use of collaborative and communicative teaching methods that promote active student participation and interaction. Furthermore, the paper emphasizes the importance of continuous professional development for educators to keep pace with technological advancements and to effectively utilize digital tools in their teaching.
The Exploration of an Integrated Teaching Method for Music and Dance based on the OBE (Outcome-Based Education) Concept.
Authors: Zhan Jingjing
Published: November 2024

Exploring integrated teaching methods for music and dance based on the OBE (Outcome-Based Education) concept is an important topic in the reform of art education in the new era. This research proposes an innovative teaching method system from the perspective of "learning outcomes-oriented," emphasizing "promoting learning through projects, fostering growth through collaboration, and enhancing development through experience." By organically integrating three teaching methods—project practice, collaborative interaction, and immersive experience—a systematic innovative pathway for teaching methods is formed, providing new ideas for the reform of music and dance integration teaching.
Research on the Window and Door Decoration Art of Traditional Residential Buildings in Yili, Xinjiang
Authors: Zhong Na , Sun Xianhua
Published: November 2024

Architecture is a form of cultural expression and a product of specific historical periods. The traditional dwellings of Xinjiang Ili have developed a unique regional architectural decorative style under the influence of Russian culture and their own ethnic culture through long-term changes. This article explores the design concepts of window and door decorative arts in Xinjiang Ili traditional dwellings from aspects such as an overview of Xinjiang Ili traditional dwellings, factors influencing the formation of window and door decorative arts, and characteristics of window and door decorative arts. Based on this, it aims to uncover the cultural connotations and artistic value of window and door decorative arts in Xinjiang Ili traditional dwellings to better protect and inherit this region-specific cultural product. The goal is to provide valuable references and research findings for modern architectural decoration designers.
Study of Peng Yuting’s Thought of Self-cultivation
Authors: Li Huayang
Published: November 2024

In the first half of the 20th century, the rural construction movement was one of the major social trends in China. The Wanxi autonomous leader headed by Peng Yuting carried out a vigorous rural self-government campaign in the Wanxi region of China, forming a local self-government theory centered on the “Three-Self”, which includes self-support (self-enrichment), autonomy, and self-defense. Aspects. Peng Yuting’s self-sustaining ideology takes Sun Yat-sen's “people’s livelihood” as his theoretical source. In the process of Wanxi’s self-government, he implemented a series of rural economic developments such as tree planting, water conservancy, improvement of agro-industrial skills, and management of rivers, and improvement of the rural economy. Production conditions. Although it has also been praised by reporters as "a model for the rural self-government movement," it has not fundamentally touched the foundation of the ruling order - feudal landlord land ownership. Therefore, it ultimately ended in failure.
Difficulties face third semester students in translating English collocations into Arabic and vice versa at the faculty of languages, Benghazi University
Authors: Alhendaw Sarah Ramadan , Werfally Intesar
Published: November 2024

The purpose of this study was to have some insights about the difficulties students of English may face when translating different types of collocations from English to Arabic and vice versa. It figures out the causes of such difficulties and solutions which help overcoming them. The study is carried out through a test in order to explore the difficulties and problems that face such students. The test is composed of some questions and 32 items, (English to Arabic / Arabic to English) are used for data collection then the researcher analyzes the data quantitatively in order to get the results in numbers and by discussing these results to enhance the validity through the survey by focusing on the practical part. A test has been carried out involving thirty students of third semester / translation department, Benghazi University .The results of the study ensured that third semester translation students encounter difficulties in translating collocations in both languages. The reasons behind these difficulties were mainly attributed to the fact that collocations are both a linguistic and a cultural issue and are not just a matter of substituting words by their equivalents in the other language. Therefore, there should be a separation between Arabic collocations and English collocations in teaching the language because every language has its own collocation which is completely different from other languages.
Assessing school heads’ leader innovative behaviours and sustainability of innovations in Gweru rural primary schools, Zimbabwe
Authors:   Educational Policy Studies and Leadership, Midlands State University, P. Bag 9055, Gweru, Zimbabwe, Shoko Shepherd
Published: November 2024

This study aimed to assess school heads’ innovative leadership behaviours and schools’ capacity to innovate and sustain the innovation agenda from the perspective of educators. The study was anchored on a mixed methods design. A sample of fifty educators from ten schools, who had worked for at least two years under the particular school head participated in the study. Schools that provided participants were randomly picked from neighbouring Shurugwi, and Gweru Districts as these two districts were convenient for the researcher who lives in Gweru. A questionnaire was used to generate quantitative data that was presented using a frequency table and descriptive statistics. Qualitative data was generated using semi structured interviews. Findings from the study revealed marked fluctuations in the use of leader innovative behaviours by school heads, suggesting that some leader innovative behaviours were used more often and some were rarely used. It was concluded that school heads’ use of innovative behaviours was erratic, inconsistent, pointing to no systematic approach to promote innovation in the schools. Findings of the study also revealed that schools had very limited capacity to push and sustain the innovation agenda as most critical resources needed for this endeavour were not in place in the schools. The innovation culture seems not to have set in most schools that were under study. More school heads training and empowerment was recommended to assist school heads exhibit consistent innovative leader behaviours that will promote and drive innovation in schools.
Factors contributing to retention of teachers in public secondary schools in rural areas in Tanzania: a study of Lindi district
Authors: Aziza Lubembela, H. M , Mwila Prospery M.
Published: November 2024

This study aimed to investigate the factors influencing teacher retention in public secondary schools situated in rural areas, with a particular focus on the Lindi District in Tanzania. The research employed a convergent design within a mixed-methods approach and included a sample of 60 students, 30 teachers, and 3 heads of schools schools. Quantitative data analysis involved descriptive statistics, while qualitative data were analyzed thematically. The findings indicate a comparatively low retention rate in rural secondary schools in Lindi, attributed to factors such as inadequate remuneration and benefits, limited professional development opportunities, poor work-life balance, and unsupportive work environments. These challenges may negatively impact the quality of education, as insufficient support and compensation for teachers can lead to decreased job satisfaction, motivation, and overall engagement in their roles.
Instructional leadership and implementation of inclusive education practices of school heads
Authors: Marmol-Dado Annie
Published: November 2024

This study determined the relationship between instructional leadership practices and implementation of inclusive education practices of public elementary and secondary school heads in the Division of Camarines Norte. The study employed descriptive-correlational research design with survey questionnaire checklist as the data-gathering instrument. Total enumeration was employed in this study which involved one hundred two teachers, 21 public elementary school heads, and 15 secondary school heads in the locale of the study. Based on the findings, it is concluded that the public elementary and secondary school heads very satisfactorily implemented their instructional leadership practices along school-based review, contextualization and implementation of learning standards, teaching standards and pedagogies, teacher performance feedback, learner achievement and other performance indicators, learning assessment, learning environment and career awareness and opportunities except learners’ discipline wherein they were rated outstanding. Moreover, they almost fully implemented the inclusive education practices along identification, assessment, and placement, developing individual education plan, providing assistance and reporting. There is a weak positive correlation between learning environment and identification, assessment and placement practices, while assistance has a significant correlation along learning environment, and reporting is significantly correlated along teacher’s performance and feedback and career awareness and opportunities. The identified issues and concerns affected how they cater to learners with special needs. A guidebook is therefore proposed to address the instructional leadership practices and inclusive education practices of the school heads in public elementary and secondary schools in the Division of Camarines Norte.
Investigating the causes of academic failure in children with mental disorders and management strategies
Authors: Mohammadzadeh Fariba , Mazrouei Nazila
Published: November 2024

The academic failure of children with mental disorders is a significant and challenging issue in the fields of psychology and educational management. Effective management strategies to address this issue must be comprehensive and consider all contributing factors. This article examines the various reasons behind academic failure in children with mental disorders and offers management strategies to address this issue. The causes discussed include cognitive problems, behavioral disorders, insufficient support from family and teachers, and deficiencies in educational programs. Management strategies include designing individualized educational programs, training teachers and parents, and enhancing school support systems to improve the academic performance of these children by reducing the challenges they face in school.
Explainable AI for Automated Feature Extraction in Medical Image Segmentation
Authors:   Assistant Professor, School of Computer Science and IT, Jain (Deemed-to-be University), Bangalore, India, N. N. ,   Professor, Karpagam College of Engineering, Coimbatore, India,   Assistant Professor, Dr.Mahalingam College of Engineering and Technology, Pollachi, India,   Professor  Head, Department of Master of Computer Applications, Rathinam Technical Campus, Coimbatore, India, Balakrishnan M. , Indurekaa S. R. , Christopher A. B. Arockia
Published: November 2024

Automated feature extraction and segmentation of medical images are essential for accurate diagnostics, enabling the identification of relevant structures with minimal human intervention. This study introduces an Explainable AI (XAI) framework for automated feature extraction in medical image segmentation, aiming to enhance transparency in deep learning models used in medical imaging. The proposed framework uses a Convolutional Neural Network (CNN) with integrated attention mechanisms and layer-wise relevance propagation (LRP) to identify critical features while segmenting regions of interest. Testing on datasets of MRI brain scans and CT liver scans, the model achieved an accuracy of 94%, a Dice similarity coefficient (DSC) of 0.88, and an Intersection over Union (IoU) score of 0.83. These results outperform conventional CNN-based segmentation techniques by 10% on average, highlighting the framework's precision in identifying and segmenting intricate structures, including lesions and abnormalities. Additionally, the XAI components provide visual explanations of the segmentation process, enabling clinicians to understand which features influenced the model's decisions. This enhanced transparency is crucial for building trust in AI-driven medical solutions, ultimately facilitating their integration into clinical workflows.
Dynamic Learning-Driven Software Ecosystems: Revolutionizing Healthcare Solutions through Real-Time Adaptation
Authors:   Associate Professor, Department of Computer Applications, Queen Mary's College, Chennai, India, Jacinth Jacinth ,   Assistant Professor, Department of CSE, Sona College of Technology, India,   Professor, Department of ECE, Siddartha Institute of Science and Tech, Puttur, Andhra Pradesh, 51758, India,   Senior Manager,TVR Consulting Services Private Limited Gajularamaram, Medchal Malkangiri district, Hyderabad - 500055, Telegana, India, Krishnaraj Kowsalyadevi , P. Chandra Sekar. , Kanth Tatiraju V. Rajani
Published: November 2024

The increasing demand for personalized, efficient, and adaptive healthcare solutions has catalyzed the development of dynamic, learning-driven software ecosystems. This paper introduces a novel framework that leverages real-time data and machine learning algorithms to revolutionize healthcare services. The proposed system integrates continuous learning capabilities to enhance decision-making, optimize resource allocation, and enable precise diagnostics and treatment plans. By incorporating real-time data from patient monitoring systems, electronic health records, and IoT-enabled devices, the ecosystem offers adaptable healthcare solutions that evolve based on new data insights. The adaptability and scalability of the proposed framework ensure that healthcare providers can offer timely and personalized interventions while minimizing operational costs. Key features include dynamic learning models, predictive analytics, and seamless integration with existing healthcare infrastructures. Through extensive case studies, the paper demonstrates how these innovations can transform patient care, improve outcomes, and support proactive healthcare management.