Comprehensive Integration Research Articles

Assessment of the Validity and Quality of Polycystic Ovarian Syndrome (PCOS) Screening Tools Available for Women Globally: A Systematic Review.

Background: This systematic review has the following aims: (1) to identify measurement tools used globally by healthcare providers to diagnose PCOS in women at elevated risk; (2) to assess the comprehensiveness of these tools regarding mental health and chronic pain; (3) to list strategies for validating, disseminating, and implementing these tools; and (4) to provide future recommendations for experts in healthcare settings. Methods: This review utilized the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) and the Arksey and O'Malley York methodology. Studies were sourced from the PubMed, Embase, and Cochrane Library databases, with inclusion criteria focusing on peer-reviewed articles addressing PCOS diagnosis and associated comorbidities. Data extraction and analysis followed the Joanna Briggs Institute (JBI) recommendations. Results: A total of 63 studies met the inclusion criteria. Findings indicate that current screening tools for PCOS often lack comprehensive integration of mental health and chronic pain assessments. Tools like the PCOSQ and its updated version, PCOSQ-50, inadequately address pain-related symptoms, highlighting a gap in holistic patient evaluation. This review identified significant associations between PCOS and mental health disorders, including anxiety and depression, emphasizing the need for mental health screenings as part of PCOS management. Conclusions: There is a critical need for validated PCOS screening tools that encompass both physical and psychological aspects of the condition. Educating healthcare providers on the cultural and social determinants influencing PCOS can improve diagnosis and patient outcomes. Future research should focus on developing holistic screening tools and culturally relevant educational resources, aiming to enhance the overall quality of life for women with PCOS.

State of the Art of Patient Therapeutic Education in Morocco: A Systematic Literature Review

Introduction This article examines the current state of Therapeutic Patient Education (TPE) in Morocco through a systematic literature review. With the rising prevalence of chronic diseases in the country, TPE is pivotal in aiding patients to manage their conditions and treatments, thus enhancing their quality of life. Despite the efforts of Moroccan authorities to promote TPE, its utilization remains largely constrained, partly due to the lack of structured programs and accessible data. Objective In this manuscript, we explore the current state of existing TPE, focusing on various therapeutic education interventions for patients in Morocco. This study aims to enhance public health policies and practices in Morocco by exploring existing TPE interventions. Results The systematic review analyzed 11 studies from 2010 to 2024. Recommendations from the World Health Organization (WHO) and other relevant bodies could facilitate the integration of TPE into healthcare systems. However, challenges persist, including region-specific obstacles in Morocco and the need for enhanced training of healthcare professionals. Conclusion This systematic review underscores the importance of investing in TPE and offers insights into research, clinical practice, and health policies in Morocco. Despite its potential, sustained attention and further efforts are necessary to ensure the comprehensive integration of TPE into Moroccan healthcare settings.

Enhancing academic integrity among students in GenAI Era:A holistic framework

The introduction of Artificial Intelligence (AI), specifically Generative AI (GenAI), has significantly transformed the higher education landscape. Despite the opportunities GenAI offers to students, they pose significant challenges for academic integrity. Thus, it is crucial for higher education institutions (HEI) to balance the use of GenAI for enhancing the learning experience of students with its ethical and responsible use in their educational journey. The present study proposes a comprehensive academic integrity framework focusing on three key stakeholders: students, educators, and institutions. We propose eight strategies ranging from collaborative learning for students to developing a comprehensive GenAI policy for institutions in maintaining academic integrity among students in HEI. Furthermore, we identified four challenges, namely financial, strategic, operational, and cultural, in the implementing a comprehensive academic integrity framework in the GenAI era. This study offers significant insights for HEI to maintain academic integrity among students in the GenAI era.

A Comprehensive Integration and Synthesis of Methane Emissions from Canada's Oil and Gas Value Chain.

Methane emissions from the global oil and gas value chain are a major contributor to climate change, and their mitigation could avoid 0.1 °C of warming by 2050. Here, we synthesize nearly a decade of research encompassing thousands of multiscale methane measurements along the oil and gas value chain (production to end use) to better constrain estimates of methane emissions from Canada's energy sector and to identify research gaps contributing to uncertainty in current estimates. We find that total value chain methane emissions are 2,600 (2,100-3,700) kt, which broadly agrees with Canada's latest official inventory that now includes atmospheric measurement data in some of their oil and gas methane estimates. Accurate understanding of emission magnitudes is critical because Canada committed to a 75% reduction of oil and gas methane emissions by 2030. We also identify and discuss information gaps in both emissions and activity data, namely, from the midstream, downstream, and end-use sectors. While they make up a smaller portion of the total inventory, accurate quantification of these emissions is still important and could point to more cost-effective mitigation solutions. This work emphasizes the need for frequent, comprehensive measurements to better constrain the climate impacts of the oil and gas sector and to validate reductions and commitments pledged by industry and governments.

Technologically Comprehensive Reconstruction of Fronto-Orbito-Sphenoidal Craniofacial Fibrous Dysplasia.

Craniofacial fibrous dysplasia (CFD) is a benign bone condition that presents unique challenges due to its proximity to vital organs, esthetic significance, and variability in each case. Consequently, a meticulous and personalized surgical approach becomes imperative. Diverse techniques and technologies have been employed sporadically to tackle various aspects of CFD. Our approach includes a comprehensive integration of emerging methods and technologies, encompassing presurgical strategizing, three-dimensional computer-aided manufacturing (3D-CAM), intraoperative navigation systems, and a prefabricated drilling guide in a fronto-orbito-sphenoidal CFD case. This combined strategy is aimed at effectively addressing the complexities of this demanding ailment. Moreover, a collaborative team consisting of plastic surgeons, neurosurgeons, and oculoplastic surgeons cooperates to orchestrate the procedure. Embracing a multidisciplinary team and a holistic technological strategy appears to be the key to addressing the multifaceted challenges posed by intricate conditions like CFD.

Construction of the Index System for the Integration of Professional Education and Innovation Entrepreneurship Education in Applied Universities

In applied universities, innovation and entrepreneurship education (IEE) has entered a new era of comprehensive integration of professional education. However, as a novel educational activity, the evaluation of professional innovation integration still lacks reasonable appraisal standards. This article is based on the basic theory of the Kirkpatrick evaluation model, combined with the innovation and entrepreneurship practice of China's applied universities, this study initially constructs an index system for professional innovation integration in applied universities, estimates and ascertains the weights of different indicators using the Delphi and analytic hierarchy process approach, and thereafter, builds an index system for professional innovation integration in applied universities, which comprises of 4 primary indicators, namely: reaction layer, learning layer, behavior layer, and achievement layer, supported by 9 secondary indicators and 23 tertiary indicators.

Attention-based fusion network for RGB-D semantic segmentation

RGB-D semantic segmentation can realize a profound comprehension of scenes, which is crucial in various computer vision tasks. However, due to the inherent modal variances and image noise, achieving superior segmentation using existing methods remains challenging. In this paper, we propose an attention-based fusion network for RGB-D semantic segmentation. Specifically, our network employs a forward multi-step propagation strategy and a backward progressive bootstrap fusion strategy based on the encoder–decoder architecture. By aggregating feature maps at different scales, we effectively diminish the uncertainty in the final prediction. Meanwhile, we introduce a Channel and Spatial Rectification Module (CSRM) to enable multi-dimensional interactions and noise removal. In order to achieve comprehensive integration between RGB and depth images, we put the rectified features into the Cross-Attention Fusion Module(CAFM). Extensive experiments show that our network can adeptly manage a diverse array of complex scenarios, demonstrating its innovative strength with superior performance and robust effectiveness across indoor NYU Depth V2 and SUN-RGBD datasets, and extending its capabilities to the outdoor Cityscapes dataset.

RESEARCH INTO A STABLE DIFFUSION-BASED HUMAN-MACHINE-HUMAN TEACHING MODEL FOR ARCHITECTURAL DESIGN COURSES

ABSTRACT Conventional methods of teaching architectural design have flaws like fuzzy information exchange, limitations of thought dispersion, and disconnection of theory and practice because of the different cognitive levels of teachers and students. This paper explores the interactive and collaborative “human-machine-human” mode of utilizing Stable Diffusion image generation technology to teach architectural design and achieve artificial intelligence. To enhance the quality and effectiveness of instruction, the model uses artificial intelligence for image generation, optimization, and presentation in accordance with the three stages of architectural design teaching that are developed in this paper. Mainly using the Northeastern University youth hostel design course as an example, this paper compares the new “human-machine-human” mode with the traditional “human-human” mode, assesses the necessity and viability of the AI intervention, and offers examples for future architectural course teaching reform and the comprehensive integration of AI and architecture. In the interim, it offers resources and recommendations for the deep integration of AI and architecture, as well as recommendations for future teaching reform of architecture courses.

Urban morphology and identity: The dock spaces of melaka on the maritime silk road

Background: This research investigates the intricate relationship between historical docks and the urban development of Melaka, a significant maritime entrepot along the Maritime Silk Road. Focusing on the physical connections and urban morphological performance, this study explores how these docks have influenced the urban morphology and architectural typology of Melaka from its earliest settlement to the present. Method: Utilizing a multidisciplinary approach that combines urban planning, architectural analysis, historical research, and extensive fieldwork, this research identifies key dock spaces along the Melaka River and examines their connections to the city's inland areas. Through historical mapping and analysis of lost docks and market spaces, as well as religious buildings, the study reveals the complex interactions between these maritime infrastructures and urban development. Result: The findings highlight numerous challenges in preserving these historical nodes, including issues related to modern urban integration and conservation. Conclusion: The research concludes with recommendations for the conservation and management of these historical sites, emphasizing their importance in preserving Melaka’s historic urban landscape. By safeguarding these cultural heritage nodes, Melaka can maintain its urban identity and continue to honor its rich maritime history. Novelty/Originality of this study: The development of a comprehensive and adaptive maritime heritage integration model in modern urban planning, which combines urban morphology, historical mapping, and socio-economic impact assessment, provides a multidimensional framework for urban planners to preserve and revitalize infrastructure nodes while accommodating contemporary urban development needs, thereby creating a balance between heritage preservation and urban progress.

Method of Allama Abul Fazl Al Borqaee (d 1413 H) in his Tafseer "Tabeshe az Quran"

The Quran, the cornerstone of Islam, underpins the faith, society, and civilization of the Muslim world. As the final divine revelation bestowed upon Prophet Muhammad (SAW), it was his duty to memorize and convey its teachings to his companions. This responsibility extends to the entire Muslim community, especially the ulamas (Islamic scholars), as the Prophet (SAW) emphasized the importance of learning and teaching the Quran. Through the dedicated efforts of ulamas, the Quran has been preserved from any alterations, fulfilling Allah's promise of protection. This research focuses on the translation methodology of Allama Burqaee, a distinguished Persian translator of the Quran. The significance of this study lies in recognizing Allama Burqaee's outstanding contributions to Islamic scholarship. He authored over a hundred works, including translations of the Quran and Hadith, and conducted extensive research on various religions and conflicting beliefs. His tafseer (exegesis) is particularly valuable for students of Islamic studies due to its comprehensive integration of Sunni and Shia scholarly perspectives and ease of access to primary sources. The choice of this topic is motivated by several reasons: (1) To acknowledge Allama Burqaee's efforts in opposing religious innovations (bida'). (2) To understand Allama Burqaee's approach to the Quran, Sunnah, and other Islamic sciences. (3) To highlight his inclusion of diverse scholarly opinions and contemporary ijtihad (intellectual striving). (4) To elucidate his emphasis on the importance of aqeeda (belief), a foundational aspect of Islam. (5) To discuss his call for Muslim unity based on the Quran and Sunnah. The research methodology involves following Allama Burqaee's approach without alterations, providing explanations and critical commentary when necessary. The steps include examining Quranic verses with references, analyzing Hadith and athar (traditions) from primary sources, considering scholarly consensus, and offering concise definitions and examples. This study aims to present a thorough understanding of Allama Burqaee's translation methods and their implications for Islamic scholarship.

The Overview Literature Review on Competence-Based Education in The Industrial Engineering Using PRISMA 2020

Structured methods for the methodical re-alignment of professional education programs are needed for the comprehensive integration of the human workforce in digital and sustainable manufacturing and logistics systems. It is believed that investing in engineering education is essential to the advancement of both industry and society. Future engineers, though, will need more than simply a solid foundation in technology. The focus on competence-orientation is often neglected, particularly in the field of Industrial Engineering (IE), and empirically proven success criteria that support the holistic reorientation of engineering education are usually studied. The authors of this work perform a thorough literature review on engineering education, focusing on competence-based engineering education within the field of IE. Additionally, the writers offer beneficial implications for the competence-based for Industrial Engineering students and lectures writings.

Proppant transport in secondary Sand fracturing using Eulerian-Eulerian multiphase model Approach

Secondary sand fracturing, an innovative hydraulic fracturing technique, divides the injection of proppant into two stages, altering the reservoir's rock mechanics and fracturing fluid flow paths, thus effectively controlling fracture creation and improving the effectiveness of proppant placement. This methodology facilitates fracture height control and enhances fracture conductivity, benefiting production rate. Despite abundant literature on proppant transport, limited attention has been paid to exploring the specific aspects of secondary sand fracturing. In this study, the Eulerian-Eulerian multiphase model was used to simulate the proppant transport in secondary sand fracturing for the first time. This model accounts for turbulence and the interplay between proppant particles, thus enabling a comprehensive integration of fluid and particulate phases. The effects of proppant performance, fracturing fluid performance, and fluid flow rate on proppant placement were analyzed. In the first sand-addition stage, an innovative sanding index was proposed to evaluate the effectiveness of proppant placement. Combined with the orthogonal experiment, the fluid flow rate significantly influences proppant placement. An escalated flow rate augments both the sandbank leading edge and laying lengths, concurrently diminishing the equilibrium height and the sanding index. In the second sand-addition stage, the equilibrium height increases with the increase of sand ratio, decreases with the increase of flow rate and fluid viscosity, and first increases and then decreases with the increase of particle size and proppant density. This study enriches the comprehension of proppant placement and its governing elements within hydraulic fracturing, thereby furnishing a more empirical and theoretically sound foundation for optimizing secondary sand fracturing practices.

The Trends of Kindergarten Teachers Towards the Integration of Children with Disabilities in the Kindergarten Stage and the Obstacles to Achieving this from their Point of View in Mafraq Governorate

This study aimed to investigate the trends of kindergarten teachers towards integrating people with disabilities at the kindergarten stage and the obstacles to achieving this from their point of view in Mafraq governorate and their relationship to some variables, represented by (type of kindergarten, academic qualification, experience). To achieve the goals of the study, the descriptive curriculum was used. The study community consists of all kindergarten teachers in Mafraq governorate, numbering (230) teachers according to the statistics of the Ministry of education for the academic year 2022/2023, while the study sample consisted of (155) teachers. The researcher designed a tool consisting of two parts: The first is to measure the trends of kindergarten teachers towards integrating people with disabilities with children without disabilities in Mafraq governorate, where it consisted of (28) items distributed over three areas: social, academic, emotional), and the second is to measure obstacles to integration, where it consisted of (20) items. The study showed the multiplicity of obstacles to integration from the teachers' point of view. It also showed that there are no statistically significant differences at (α =0،05) in the trends of kindergarten teachers towards comprehensive integration), with the variety of the type of kindergarten, academic qualifications, and years of experience. The results also explained that the trends of the study sample were positive. In light of the results, the researcher recommends the application of comprehensive integration at the kindergarten stage, and the need to hold training courses to qualify kindergarten teachers, and to raise awareness of the process of applying comprehensive integration from the beginning of early childhood, through media and educational programs, and adapting the educational environment before the application of the comprehensive integration process.

Digital Divide or Digital Bridge? Evaluating the Impact of ICT Integration in South Africa’s Rural Schools

The advent of the knowledge economy necessitates the development of specific skills pertinent to 21st-century citizens, such as global competitiveness and the proficient use of information and communication technologies (ICTs) for personal and economic advancement. In response, nations worldwide, both developed and developing, are reforming educational curricula and promoting the integration of ICTs in teaching and learning. South Africa is no exception and through policy initiatives aimed to enhance educational opportunities by equipping all schools with laptops and tablets by 2013. Rural schools were to be given particular attention through the development of eLearning. This study explores the alignment between eLearning policy directives and their implementation in rural schools. The research engaged five school principals and one district official, employing semi-structured interviews and document analysis as data collection methods. The findings reveal that teachers lack training to effectively integrate ICTs into educational practices. Despite a revised implementation strategy from 2013 to 2025, progress remains minimal and disproportionately favours smart schools within the province rather than a universal application. The study advocates for the KwaZulu-Natal education department to prioritise comprehensive ICT integration training for teachers across all educational phases. Furthermore, it recommends an expansive distribution of devices in form of tablets and laptops to include primary schools and calls for a national curriculum overhaul to meet the needs of the 21st-century learner. Teachers are also encouraged to proactively seek professional development opportunities independently of departmental offerings.

People 4.0 — A model for Human-in-the-Loop CPS-based systems

Technology has become ubiquitous, and humans are increasingly dependent on it. Concepts like Smart and Cyber–Physical Systems (CPS), and the Internet of Things (IoT), are frequently used to describe applications and systems that surround us. These concepts commonly encompass applications that are able to sense their environment, collect and process data, make inferences, and communicate with other applications. However, most of the systems that currently exist do not account for human actions and intents, treating humans as mere sources of data. Furthermore, even the few systems that consider the human factor only do so to a very limited extent. On the premise that technology is made by people for people, new human-centric paradigms are needed, in which emotions, human states, and actions can be conveyed into the system. In this paper, we delve into the concept of Human-in-the-Loop Cyber–Physical Systems (HiTLCPS) and the challenges it presents. Building upon this foundation, we propose a novel approach that integrates humans into all phases of the cyber–physical loop. This comprehensive integration entails influencing human emotions and states, and incorporating human actions into the system architecture and functionalities. Finally, to demonstrate the feasibility and effectiveness of our proposed model, we provide concrete implementation examples in this paper. These examples, along with associated case studies, offer insights into how our human-centric paradigm enhances system performance, user experience, and overall effectiveness.

Radiomics in ophthalmology: a systematic review.

Radiomics holds great potential in medical image analysis for various ophthalmic diseases. In recent times, there have been numerous endeavors in this area of research. This systematic review aims to provide a comprehensive assessment of the strengths and limitations of radiomics in ophthalmology. Conforming to the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines, we conducted a systematic review with a pre-registered protocol (PROSPERO: CRD42023446317). We explored the PubMed, Embase, and Cochrane databases for original studies on this topic and made a comprehensive descriptive integration. Furthermore, the included studies underwent quality assessment by the radiomics quality score (RQS). A total of 41 articles from an initial search of 227 studies were finally selected for further analysis. These articles included research across five disease categories and covered seven imaging modalities. The radiomics models demonstrated robust performance, with area under the curve (AUC) values mostly falling within 0.7-1.0. The moderate RQS (mean score: 11.17/36) indicated that most studies were retrospectively, single-center analyses without external validation. Radiomics holds promising utility in the field of ophthalmology, assisting diagnosis, early-stage screening, and prognostication of treatment response. Artificial intelligence algorithms significantly contribute to the construction of radiomics models in ophthalmology. This study highlights the strengths and challenges of radiomics in ophthalmology and suggests potential avenues for future improvement. Radiomics represents a valuable approach for generating innovative imaging markers, enhancing efficiency in clinical diagnosis and treatment, and aiding decision-making in clinical contexts of many ophthalmic diseases, thereby improving overall patient prognosis. Radiomics has attracted extensive attention in the field of ophthalmology. Articles included five disease categories over seven imaging modalities, consistently yielding AUCs mostly above 0.7. Current research has few prospective and multi-center studies, underlining the necessity for future high-quality studies.

Integration and Industrialization of Film and Television Resources and its Significance for China’s Film and Television Work

The abundance of Film and Television resources in China is notable, yet the effective amalgamation and industrialization of these resources hold immense importance for the nation's film and television endeavors. Utilizing the full potential of policy, market, talent, and cultural assets, this research achieves the industrialization of Film and Television resources via a comprehensive amalgamation and integration of various capital, cooperation, and industry sectors. The findings of our study indicate that merging and mechanizing Film and Television resources in the realm of film and TV not only enhances their usage efficiency and financial worth, but also elevates their quality and expressive capacity. Consequently, this approach enables efficient education in Film and Television for the film and television sector in China. The research aids in comprehending the significance of incorporating Film and Television resource industrialization into film and TV projects, and also serves as a valuable methodological guide for diverse film and TV endeavors via these resources.

DFA-UNet: dual-stream feature-fusion attention U-Net for lymph node segmentation in lung cancer diagnosis.

In bronchial ultrasound elastography, accurately segmenting mediastinal lymph nodes is of great significance for diagnosing whether lung cancer has metastasized. However, due to the ill-defined margin of ultrasound images and the complexity of lymph node structure, accurate segmentation of fine contours is still challenging. Therefore, we propose a dual-stream feature-fusion attention U-Net (DFA-UNet). Firstly, a dual-stream encoder (DSE) is designed by combining ConvNext with a lightweight vision transformer (ViT) to extract the local information and global information of images; Secondly, we propose a hybrid attention module (HAM) at the bottleneck, which incorporates spatial and channel attention to optimize the features transmission process by optimizing high-dimensional features at the bottom of the network. Finally, the feature-enhanced residual decoder (FRD) is developed to improve the fusion of features obtained from the encoder and decoder, ensuring a more comprehensive integration. Extensive experiments on the ultrasound elasticity image dataset show the superiority of our DFA-UNet over 9 state-of-the-art image segmentation models. Additionally, visual analysis, ablation studies, and generalization assessments highlight the significant enhancement effects of DFA-UNet. Comprehensive experiments confirm the excellent segmentation effectiveness of the DFA-UNet combined attention mechanism for ultrasound images, underscoring its important significance for future research on medical images.

Investigating the factors affecting the quality of public spaces as mixed-life places; a case study of Ferdowsi street, Shahin Shahr, Isfahan

ABSTRACT Public spaces serve as the backdrop for various urban activities, and streets, in particular, hold immense significance in this regard. Among the critical environmental aspects of an urban street, the quality of public spaces as mixed-life places stands out, as it contributes to heightened social interactions. The goal of this article is to present a novel model for analyzing the quality of public spaces as mixed-ife places. This is achieved through a comprehensive review and integration of relevant perspectives and insights. A case study was undertaken in Ferdowsi Street, located in Shahin Shahr, Isfahan, to identify the criteria contributing to the mixed-life quality. Seventy questionnaires were randomly distributed and completed by participants. Subsequently, the gathered data were analyzed through the statistical software SPSS. Our findings revealed that Ferdowsi Street currently lacks the attributes associated with mixed-life quality. However, it did highlight some promising potentials which these qualities could be developed.

Effectiveness of Digital Platforms in Improving Students' Writing Skills in Higher Education: Literature Review

Higher education is currently facing demands to integrate digital technology to improve the effectiveness of teaching and learning. The use of technology in education has been proven to increase access to information, learning flexibility, and innovation in teaching methods. This study aims to review the literature regarding the effectiveness of digital platforms in improving students' writing skills. The methods used include qualitative and quantitative approaches through literature reviews from trusted academic sources in the last 6 years. Research findings show that digital platforms such as Google Classroom, Moodle, Microsoft Teams, and collaborative applications such as Google Docs increase learning motivation, and interaction between educators and students, and facilitate inclusive and adaptive learning. In addition, digital feedback and collaboration in learning to write have also proven to be important. Qualitative analysis shows that the use of digital platforms has a positive impact on students' writing skills, including increasing productivity, writing quality, and active participation in learning. Based on these findings, the research emphasizes the importance of educational strategies and policies that support the comprehensive integration of digital technology to achieve more effective and efficient higher education in the future.