Navigating interdisciplinary research:Historical progression and contemporary challenges

Interdisciplinary research plays a crucial role in addressing complex problems by integrating knowledge from multiple disciplines.This integration fosters innovative solutions and enhances understanding across various fields.This study explores the historical and sociological development of interdisciplinary research and maps its evolution through three distinct phases:pre-disciplinary,disciplinary,and post-disciplinary.It identifies key internal dynamics,such as disciplinary diversification,reorganization,and innovation,as primary drivers of this evolution.Additionally,this study highlights how external factors,particularly the urgency of World War II and the subsequent political and economic changes,have accelerated its advancement.The rise of interdisciplinary research has significantly reshaped traditional educational paradigms,promoting its integration across different educational levels.However,the inherent contradictions within interdisciplinary research present cognitive,emotional,and institutional challenges for researchers.Meanwhile,finding a balance between the breadth and depth of knowledge remains a critical challenge in interdisciplinary education.

Recent Ventures in Interdisciplinary Arctic Research:The ARCPATH Project

This paper celebrates Professor Yongqi GAO's significant achievement in the field of interdisciplinary studies within the context of his final research project Arctic Climate Predictions: Pathways to Resilient Sustainable Societies-ARCPATH(https://www.svs.is/en/projects/finished-projects/arcpath). The disciplines represented in the project are related to climatology, anthropology, marine biology, economics, and the broad spectrum of social-ecological studies. Team members were drawn from the Nordic countries, Russia, China, the United States, and Canada. The project was transdisciplinary as well as interdisciplinary as it included collaboration with local knowledge holders. ARCPATH made significant contributions to Arctic research through an improved understanding of the mechanisms that drive climate variability in the Arctic. In tandem with this research, a combination of historical investigations and social, economic, and marine biological fieldwork was carried out for the project study areas of Iceland, Greenland, Norway, and the surrounding seas, with a focus on the joint use of ocean and sea-ice data as well as social-ecological drivers. ARCPATH was able to provide an improved framework for predicting the near-term variation of Arctic climate on spatial scales relevant to society, as well as evaluating possible related changes in socioeconomic realms. In summary, through the integration of information from several different disciplines and research approaches, ARCPATH served to create new and valuable knowledge on crucial issues, thus providing new pathways to action for Arctic communities.

The Interdisciplinary Education for The Emerging Engineering Majors:Taking Cyberspace Security Major as An Example

The new generation of world information technology revolution has promoted the vigorous development and rapid transform of the new economy.The in-depth implementation of a series of Chinese important national strategies such as“Made in China 2025”and“Internet+”is urgently needed the support of innovative and outstanding emerging engineering talents with cross-border integration abilities.Therefore,interdisciplinary education plays an important role in the training of the needed emerging engineering talents.Taking cybersecurity as an example,this paper summarizes the professional’s requirements and proposes the educational objectives of Harbin Institute of Technology.Then the objective oriented curriculum system and the teaching model emphasizing project-based learning are introduced.The practice and effect of interdisciplinary education are discussed and analyzed in four aspects including curriculum system,faculty,students and academy education.Finally,suggestions are made on the individualized education and sustainable competitiveness cultivation of the emerging engineering talents.

Exploring the Significance and Path of Interdisciplinary Integration of Art Education in Primary and Secondary Schools in the Era of Artificial Intelligence

With the advent of the artificial intelligence(AI)era,there is a need to create a more flexible and humanistic educational ecosystem to adapt to the changes.Education needs to move from a unidirectional focus on skills to the cultivation of creative“whole people.”Due to the non-standardized evaluation system of the art discipline,its education has a unique advantage for the cultivation of students’creativity.At the same time,the interdisciplinary integration of fine arts points to the educational goals in the era of AI and the educational requirements for cultivating students’core qualities in China.Therefore,this paper analyzes the theoretical basis and developmental evolution of interdisciplinary integration,studies the significance of interdisciplinary integration in art education from the three levels of students,teaching,and disciplines,and explores four effective paths to realize interdisciplinary integration in art education in the era of AI.In this way,students can realize the contextualized analysis of knowledge,in-depth understanding of the content of the discipline,and accurate expression of the spiritual values embedded in art interdisciplinary learning.The ultimate goal is to cultivate students’ability to solve complex problems,promote the development of students’free personalities,and respond to the national education requirements.

Construction and Application of An Interdisciplinary Team Teaching Model for Foreign-Related Nursing English in Higher Vocational Colleges from the Perspective of Ecolinguistics

Under the background of globalization,there are severe challenges in the cultivation of the professional skills of nursing staff,especially the English skills of foreign-related nursing,which has become an important part of the training of nursing talents.At present,most English teaching of foreign-related nursing in higher vocational colleges follows the traditional grammar teaching model.However,as most of the teaching staff for medical English are English teachers who have limited nursing professional knowledge,the industry characteristics of medical English are not fully demonstrated in the teaching process,and the lack of practicality inevitably reduces the quality of medical English teaching.Therefore,the traditional nursing English teaching model in higher vocational colleges can no longer meet the actual teaching needs.There is an urgent need to implement an interdisciplinary team teaching model that completely fits the industry environment of foreign-related nursing English and apply it flexibly to improve the quality of foreign-related nursing English teaching in higher vocational colleges,and lay a solid foundation for professional practice of nursing staff.Based on the perspective of ecolinguistics,this article explores the application strategies of the interdisciplinary team teaching model for foreign-related nursing English in higher vocational colleges,with the view to provide guidelines for the actual teaching of foreign-related nursing English.

Giant Spinal Schwannomas. Presentation of Two Cases with Interdisciplinary Surgical Resection

Purpose: To report two quite rare cases of giant schwannomas of the cervical and thoracic spine. Surgical resection is usually the treatment of choice for these neoplasms. Methods: The first patient is a 48-year-old male that came to our department, complaining about weakness and paresthesia of both lower extremities and upper left extremity, and a considerably big dorsal palpable lump. MRI and CT scan were used to diagnose giant cervical schwannoma. Because of the intensity of symptoms, he was subjected to surgery. Multidisciplinary resection involving neurosurgical and oncosurgicalteamn was performed for intravertebral and extravertebral approaches. The second patient is a 55-year-old female that came to the hospital complaining about incapacitating pain and dysesthesia involving T6, T7, and T8 dermatomes, with no other deficits. MRI and CT scan were used to diagnose giant thoracic schwannoma. Because of the intensity of the pain, surgery was decided as the treatment of choice. Video assisted thoracoscopic surgery was performed and total resection was achieved, with improvement of the symptoms. Results: Both patients showed complete remission of the symptoms, with no major deficits after surgery. Conclusion: Although infrequent, giant spinal schwannomas may be the cause of visible lumps in the back with radicular symptoms. When asymptomatic, conservative treatment could be viable, but when they present symptoms, surgery offers good results.

A Study on the Instructional Design of Interdisciplinary Thematic Learning in Middle School Physical Education Based on the CASES-T Model

With the deepening of educational reform,interdisciplinary thematic learning,as an emerging educational model,has become a focus of attention in the field of educational research.Based on the STEM(science,technology,engineering,and mathematics)education concept and CASES-T(Content,Activity,Situation,Evaluation,Strategy-Target)model,this study provides a theoretical basis for the teaching design and implementation of interdisciplinary thematic learning in middle school physical education.Through the analysis of specific interdisciplinary thematic learning cases,it aims to provide theoretical support and practical guidance for the reform of middle school physical education through the CASES-T model-based interdisciplinary thematic teaching design research in middle school physical education,in order to enhance students’learning effects,cultivate core literacy in physical education,and promote students’all-round development.

Analysis of“Teaching”and“Learning”in Interdisciplinary Learning

After the release of the new curriculum plan,interdisciplinary learning has emerged as a pivotal aspect of curriculum reform in compulsory education.This shift has necessitated a corresponding reform in the teaching and learning methods of fundamental education courses.The implementation of interdisciplinary learning has consequently become a pressing challenge in educational practice.To successfully execute interdisciplinary learning,several key preparations are imperative.Firstly,educators must recognize the significance of interdisciplinary teaching.Secondly,they should clearly understand that the essence of interdisciplinary learning lies in the enhancement of students’core qualities.Thirdly,teachers need to prioritize their professional development,cultivating a robust understanding of interdisciplinary knowledge and bolstering their proficiency in interdisciplinary teaching.Lastly,students themselves must foster a diverse range of interests,cultivate high-level thinking abilities,and develop effective learning habits across multiple fields.

Characterizing structure of cross-disciplinary impact of global disciplines:A perspective of the Hierarchy of Science

Purpose:Interdisciplinary fields have become the driving force of modern science and a significant source of scientific innovation.However,there is still a paucity of analysis about the essential characteristics of disciplines’cross-disciplinary impact.Design/methodology/approach:In this study,we define cross-disciplinary impact on one discipline as its impact to other disciplines,and refer to a three-dimensional framework of variety-balance-disparity to characterize the structure of cross-disciplinary impact.The variety of cross-disciplinary impact of the discipline was defined as the proportion of the high cross-disciplinary impact publications,and the balance and disparity of cross-disciplinary impact were measured as well.To demonstrate the cross-disciplinary impact of the disciplines in science,we chose Microsoft Academic Graph(MAG)as the data source,and investigated the relationship between disciplines’cross-disciplinary impact and their positions in the Hierarchy of Science(HOS).Findings:Analytical results show that there is a significant correlation between the ranking of cross-disciplinary impact and the HOS structure,and that the discipline exerts a greater cross-disciplinary impact on its neighboring disciplines.Several bibliometric features that measure the hardness of a discipline,including the number of references,the number of cited disciplines,the citation distribution,and the Price index have a significant positive effect on the variety of cross-disciplinary impact.The number of references,the number of cited disciplines,and the citation distribution have significant positive and negative effects on balance and disparity,respectively.It is concluded that the less hard the discipline,the greater the cross-disciplinary impact,the higher balance and the lower disparity of cross-disciplinary impact.Research limitations:In the empirical analysis of HOS,we only included five broad disciplines.This study also has some biases caused by the data source and applied regression models.Practical implications:This study contributes to the formulation of discipline-specific policies and promotes the growth of interdisciplinary research,as well as offering fresh insights for predicting the cross-disciplinary impact of disciplines.Originality/value:This study provides a new perspective to properly understand the mechanisms of cross-disciplinary impact and disciplinary integration.

Pioneering role of machine learning in unveiling intensive care unitacquired weakness

In the research published in the World Journal of Clinical Cases,Wang and Long conducted a quantitative analysis to delineate the risk factors for intensive care unit-acquired weakness(ICU-AW)utilizing advanced machine learning methodologies.The study employed a multilayer perceptron neural network to accurately predict the incidence of ICU-AW,focusing on critical variables such as ICU stay duration and mechanical ventilation.This research marks a significant advancement in applying machine learning to clinical diagnostics,offering a new paradigm for predictive medicine in critical care.It underscores the importance of integrating artificial intelligence technologies in clinical practice to enhance patient management strategies and calls for interdisciplinary collaboration to drive innovation in healthcare.

Scientific Data Intellectual Property Research by Literature Statistics

The main obstacle to the open sharing of scientific data is the lack of a legal protection system for intellectual property.This article analyzes the progress of research papers on intellectual property in scientific data in China through literature search and statistics.Currently,research subjects are unbalanced,research content is uneven,research methods are intellectual single,and research depth is insufficient.It is recommended that different stakeholders engage in deep cross disciplinary cooperation,further improve China’s legal and policy protection system for scientific data intellectual property,and promote the open sharing of scientific data.

Opportunities and Challenges of College Mental Health Education from the Perspective of Big Data

This paper explores the opportunities and challenges of college mental health education from the perspective of big data.Firstly,through literature review,the importance of mental health education and the current issues are elucidated.Then,from the perspective of big data,the potential opportunities of big data in college mental health education are analyzed,including data-driven personalized education,real-time monitoring and warning systems,and interdisciplinary research and collaboration.At the same time,the challenges faced by college mental health education under the perspective of big data are also pointed out,such as data privacy and security issues,insufficient data analysis and interpretation capabilities,and inadequate technical facilities and talent support.Lastly,the research content of this paper is summarized,and directions and suggestions for future research are proposed.

The Application and Development of Music Therapy in Rehabilitation Medicine

Music therapy,as an ancient and continually evolving therapeutic approach,has demonstrated unique effects and extensive potential applications in the field of rehabilitation medicine.This paper first explores the physiological and psychological impacts of music and theoretical models of its therapeutic mechanisms.It further details the specific applications of music therapy in neurological rehabilitation,motor function recovery,psychological and emotional adjustment,and chronic disease and pain management.The article also investigates the prospects of integrating music therapy with modern technologies such as virtual reality and artificial intelligence and emphasizes the importance of interdisciplinary collaboration and policy support in advancing this field.Through comprehensive analysis,the paper identifies future development directions and research needs for music therapy in rehabilitation medicine.

Trust beyond Technology Algorithms: A Theoretical Exploration of Consumer Trust and Behavior in Technological Consumption and AI Projects

In an era dominated by artificial intelligence (AI), establishing customer confidence is crucial for the integration and acceptance of AI technologies. This interdisciplinary study examines factors influencing customer trust in AI systems through a mixed-methods approach, blending quantitative analysis with qualitative insights to create a comprehensive conceptual framework. Quantitatively, the study analyzes responses from 1248 participants using structural equation modeling (SEM), exploring interactions between technological factors like perceived usefulness and transparency, psychological factors including perceived risk and domain expertise, and organizational factors such as leadership support and ethical accountability. The results confirm the model, showing significant impacts of these factors on consumer trust and AI adoption attitudes. Qualitatively, the study includes 35 semi-structured interviews and five case studies, providing deeper insight into the dynamics shaping trust. Key themes identified include the necessity of explainability, domain competence, corporate culture, and stakeholder engagement in fostering trust. The qualitative findings complement the quantitative data, highlighting the complex interplay between technology capabilities, human perceptions, and organizational practices in establishing trust in AI. By integrating these findings, the study proposes a novel conceptual model that elucidates how various elements collectively influence consumer trust in AI. This model not only advances theoretical understanding but also offers practical implications for businesses and policymakers. The research contributes to the discourse on trust creation and decision-making in technology, emphasizing the need for interdisciplinary efforts to address societal challenges associated with technological advancements. It lays the groundwork for future research, including longitudinal, cross-cultural, and industry-specific studies, to further explore consumer trust in AI.

An Exploration of Higher Vocational English Teachers’Professional Development on Students’Learning Ability in the Context of New Liberal Arts

The concept of New Liberal Arts,a multidisciplinary combined integrator with Chinese values at its core,has brought new challenges to the teaching methods and professional development of higher-level English teachers.Based on the evolving professional development process of higher vocational English teachers in the context of the New Liberal Arts,this article analyzes how English teachers can integrate multidisciplinary knowledge and adopt advanced educational technology in the teaching process.On this basis,it discusses the role of teachers’professional development in enhancing students’learning ability,such as through deepening disciplinary understanding,adopting innovative teaching strategies,and implementing personalized teaching.At the end of the article,based on a variety of pedagogical theories,we put forward suggestions,including continuous professional training,interdisciplinary cooperation,and the application of innovative teaching techniques,which are mainly aimed at helping higher vocational English teachers get rid of the dilemma of the new situation,adapt to the needs of the new liberal arts education as soon as possible,and then effectively improve students’abilities.

Teaching Reform of “Probability Theory and Mathematical Statistics” Under the Background of New Engineering

Probability theory and mathematical statistics are fundamental courses for various majors in science and engineering.In response to the current teaching situation,we should integrate theory with practice,implement teaching reform,and carry out teaching innovation.The article carries out blended teaching with deep integration of online and offline modes and within and outside of class,constructing innovative measures of“four integrations and four reshaping.”The article conducts diversified evaluations to stimulate learning motivation and help achieve talent cultivation goals.Through the close integration of probability theory and mathematical statistics course teaching with professional education and practical application,the“three-in-one”teaching goal of value shaping,ability cultivation,and knowledge exploration is achieved.The fundamental task of“cultivating morality and talents”is implemented.

Identification and Prediction of Interdisciplinary Research Topics: A Study Based on the Concept Lattice Theory

Purpose: Formal concept analysis(FCA) and concept lattice theory(CLT) are introduced for constructing a network of IDR topics and for evaluating their effectiveness for knowledge structure exploration.Design/methodology/approach: We introduced the theory and applications of FCA and CLT, and then proposed a method for interdisciplinary knowledge discovery based on CLT. As an example of empirical analysis, interdisciplinary research(IDR) topics in Information & Library Science(LIS) and Medical Informatics, and in LIS and Geography-Physical, were utilized as empirical fields. Subsequently, we carried out a comparative analysis with two other IDR topic recognition methods.Findings: The CLT approach is suitable for IDR topic identification and predictions.Research limitations: IDR topic recognition based on the CLT is not sensitive to the interdisciplinarity of topic terms, since the data can only reflect whether there is a relationship between the discipline and the topic terms. Moreover, the CLT cannot clearly represent a large amounts of concepts.Practical implications: A deeper understanding of the IDR topics was obtained as the structural and hierarchical relationships between them were identified, which can help to get more precise identification and prediction to IDR topics.Originality/value: IDR topics identification based on CLT have performed well and this theory has several advantages for identifying and predicting IDR topics. First, in a concept lattice, there is a partial order relation between interconnected nodes, and consequently, a complete concept lattice can present hierarchical properties. Second, clustering analysis of IDR topics based on concept lattices can yield clusters that highlight the essential knowledge features and help display the semantic relationship between different IDR topics. Furthermore, the Hasse diagram automatically displays all the IDR topics associated with the different disciplines, thus forming clusters of specific concepts and visually retaining and presenting the associations of IDR topics through multiple inheritance relationships between the concepts.

Periodontal-orthodontic interdisciplinary management of a“periodontally hopeless”maxillary central incisor with severe mobility:A case report and review of literature

BACKGROUND Treating periodontally hopeless teeth with advanced bone resorption and severe tooth mobility is a great challenge for both orthodontists and periodontists.Biofilm-induced periodontal inflammation and occlusal trauma-related inflammation may synergistically aggravate tooth mobility.This case report illustrates that even periodontally hopeless teeth can be saved and have long-term stability with comprehensive periodontal treatment to control periodontal inflammation and promote periodontal bone regeneration and intricate orthodontic mechanical control to correct cross bite and occlusal trauma.CASE SUMMARY A 27-year-old female patient whose chief complaint was severe tooth mobility and discomfort of the maxillary incisor was diagnosed with severe aggressive periodontitis by clinical and radiographic examinations.To reduce tooth mobility and establish stable occlusion,we combined orthodontic treatment with periodontal therapy to preserve the tooth.Orthodontic treatment was performed after basic periodontal therapy and periodontal surgery.The loosened upper right central incisor was successfully retained,and the periodontal tissue remained stable during follow-up.CONCLUSION Teeth with severe mobility and bone loss can be saved through interdisciplinary treatment when periodontal inflammation is strictly controlled.

A Review of the Clinical Interdisciplinary Collaboration among Nurses and Physicians

Background: Care is a team effort that its continuity is not possible by a person alone. Nurses and physicians should have collaboration with other professions to solve care complex problems. Aim: We conducted a review of the literature to evaluate clinical nurses collaboration with other disciplines examined by qualitative approach. Method: We searched all articles that published from 1995 to 2014 in both English and Persian which had been performed interdisciplinary collaboration processes in the clinical nursing. These articles were done with qualitative approach for nurse’s collaboration with other disciplines. We searched using databases of Proquest, Scopus, pub Med, Science Direct, and Iranian databases of Sid, Magiran, Iran Medex. This review was performed using keywords matching with MESH terms such as interdisciplinary relations, nurse-physician relations, care team, collaboration, and their Persian equivalents at the first separately and then with AND/OR as combination. In most studies, the main structure was three components of collaboration process, context of collaboration and consequences that they were emphasized. Results & Conclusions: However context and processes were different but most studies reported outcomes similarity of interdisciplinary collaboration. Thus to achieve common goals between different disciplines working together is essential for effective care in clinical settings.

The Evidence of Interdisciplinary Teamwork in the Rehabilitation of Stroke Patients with Aphasia

The aim of this review was to investigate the evidence of interdisciplinary teamwork in the rehabilitation of stroke patients with aphasia. A total of 248 studies were read and nine included. The papers were analysed and data were extracted by categorizing the four components of rehabilitation: assessment, goal setting, intervention and reassessment. The results revealed that interdisciplinary teamwork was a prerequisite for rehabilitation and that nurses’ position in post-stroke care was unclear and limited. In addition, rehabilitation strategies, interdisciplinary cooperation, education and training are important aspects of the rehabilitation process. This study highlights the need for one valid and reliable assessment tool that incorporates communication problems. In conclusion, persons with aphasia should be more involved in their own rehabilitation, which means that the interdisciplinary team members must be educated to communicate appropriately with them.