fDimensions of Interdisciplinary Collaboration in Child Protection Work--A Collection and Analysis of Practices in Southeast Europe

Multi-agency and interdisciplinary collaboration working across and within sectors and teams is critical to ensure that children are adequately protected from any risk of abuse. Research indicates that children are most effectively protected when agencies and stakeholders work together. This is because it is almost impossible for a single agency to respond adequately to any allegation and the complex nature of child abuse. Countries in South East Europe are actively engaged in developing and refining their child protection systems over the last 20 years. Considerable efforts are placed on introducing and building the capacity of workers to respond to child abuse from a system and multi-agency perspective. Barriers to effective multi-agency working include： systems which are not designed or are overly complicated for the reality of the context; lack of training and resources; long-standing and entrenched attitudes towards other professionals and co-working; and a lack of accountability and ownership

Research on the evolutionary dynamics of interdisciplinary collaboration from the perspective of co-authorship

Despite the growing interest in exploring the interdisciplinary collaboration patterns and the factors in relation to team assembly in the first place, the dynamics of interdisciplinary collaboration with time varying is hardly known. Based on the longitudinally co-authorship network perspective, the paper investigates the evolutionary dynamics of interdisciplinary collaboration using separable temporal exponential-family random graph model(STERGM). The results from STERGM show that structural properties, properties of researcher and link properties affect the evolution of interdisciplinary co-authorship network to varying degrees. Network transitivity and preferential attachment play a decisive role in formation of links and hamper dissolution of ties in the network. The number of collaborators of interdisciplinary researchers plays an active role in the formation of partnerships and hamper dissolution of partnerships in the initial stage;specialization of team members inhibits the establishment of collaborative relationship in the initial stage and promotes the dissolution of connections in the later stage of project;the large difference in specialization value between members is not conducive to the formation of relations in the initial stage, but conducive to the maintenance of collaborative relations after links establishment. The same discipline background is conducive to the formation of relations but not conducive to the maintenance of collaborative relationships in interdisciplinary co-author network.

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.

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.

The COVID-19 Pandemic and Higher Education: Common Interdisciplinary Issues and Lessons Learned

Background: Coronavirus-19 (COVID-19) dramatically impacted institutions of higher education. The effect was acute in the practice disciplines such as medicine, medical laboratory science, and nursing. The purpose is to describe how an interdisciplinary team, led by nursing faculty, adapted to the changes driven by COVID-19 and the lessons that were learned for nursing and other disciplines in higher education. Method: The interdisciplinary group created a comprehensive list which captured the impact of COVID-19 on their academic disciplines. Similarities and differences between the disciplines regarding faculty experiences, teaching, and responding to student concerns were discovered. Results: Collective review resulted in the identification of four inclusive thematic categories and several sub-categories. These were: academic considerations (didactic, lab, clinical), perceptions (faculty, student), ethical considerations, and social determinants affecting the learning environment. Lessons Learned: This project utilized an innovative interdisciplinary approach to identify common COVID-19 effects on higher education. Conclusions: Nursing and other health-related disciplines should pursue interdisciplinary collaboration to address common academic issues that arise during the COVID.

The Role of Mathematics in STEAM Education under the“Double Reduction”Policy

This essay delves into the pivotal role of mathematics within the context of STEAM(science,technology,engineering,arts,and mathematics)education under China’s“Double Reduction”policy.Amidst a shifting global education landscape that emphasizes holistic growth,policies such as the“Double Reduction”strategy underscore the significance of well-rounded development alongside academic excellence.By advocating for a balanced approach to education,the policy resonates with the principles of STEAM education,which seeks to cultivate versatile and innovative individuals.Mathematics,acting as a unifying force,connects disparate STEAM disciplines,fostering interdisciplinary collaboration and preparing students to thrive in a rapidly evolving,technology-driven world.This essay provides an in-depth exploration of the multifaceted role of mathematics in STEAM education,drawing on specific cases and scholarly references to highlight its contributions to creativity,critical thinking,and holistic development.

Research on Subject Areas of Innovation Ecosystem: A Discipline Co-occurrence Analysis

Based on data from the Web of Science database,co-occurrence analysis and network visualization technique were conducted to explore the structure and patterns of interdisciplinary collaborations in innovation ecosystem research.This study presented the descriptive statistics of disciplines involved in relative research and interdisciplinary network over time.The results suggested that the scope of disciplines involved in innovation ecosystem research is broad and the distribution is unbalanced.Management and business are the core subject area while Regional&Urban Planning,Environmental Studies,and Environmental Sciences are playing key role in research and practices.