Fragmented Knowledge Research Articles

Curricular Integration of Mathematics and Dance to Improve Geometric Reasoning in Secondary School Students

Objective: The objective of this study is to investigate the effectiveness of integrating dance into mathematics education, with the purpose of improving geometric reasoning among secondary school students in Colombia and increasing their interest in STEAM disciplines. Theoretical Framework: This section presents the main concepts and theories supporting the research. Notable among these are theories of geometric reasoning, such as the Van Hiele model, as well as theories of interdisciplinary education in STEM and STEAM. These theories provide a solid foundation for understanding how integrating artistic disciplines, such as dance, can influence mathematics learning and activate students' creativity. Method: The methodology adopted for this research includes a pre-post test design using the Van Hiele Test to measure geometric reasoning. The sample consisted of three groups of secondary school students in Colombia. A curricular integration proposal linking dance with mathematics was implemented, and results were evaluated before and after the intervention to determine its impact on geometric reasoning. Results and Discussion: The results revealed significant improvements in students' geometric reasoning following the intervention, with notable gains in visualization and recognition levels according to the Van Hiele Test. In the discussion section, these results are contextualized within the theoretical framework, highlighting how integrating dance into mathematics teaching can overcome fragmented knowledge and increase students' interest in STEAM disciplines. Possible study limitations, such as sample size and intervention duration, are also considered. Research Implications: The practical and theoretical implications of this research are discussed, providing information on how the results can be applied to educational practices to improve performance in STEAM disciplines. These implications could include reformulating school curricula to incorporate interdisciplinary approaches that integrate arts and sciences, particularly in the context of secondary education in Colombia. Originality/Value: This study contributes to the literature by demonstrating the effectiveness of an innovative proposal that integrates dance into mathematics education to improve geometric reasoning. The relevance and value of this research are evidenced by its potential to transform the way STEAM disciplines are taught, offering a more creative and interdisciplinary approach that can motivate more students to pursue careers in science, technology, engineering, art, and mathematics.

Exploring Innovative Work Behavior to Bridge the Fragmented Knowledge

Innovative Work Behavior (IWB) is crucial for organizations aiming to thrive in dynamic markets and achieve sustainability. Despite its importance, there remains a fragmented understanding of the factors that foster IWB. This study explores the influence of Human Resource (HR) practices—Training and Development (TD), Rewards and Recognition (RR), Diversity Management (DM), and Work-Life Balance (WB)—on various dimensions of IWB such as Idea Exploration (IE), Idea Generation (IG), Idea Championing (IC), and Idea Implementation (II). Structural Equation Modeling (SEM) was used to analyze the data from 111 participants across 9 industries in the UAE. The results reveal that TD positively impacts IE but negatively affects IG, suggesting that while training encourages exploration, it inhibits idea generation. DM consistently positively influences all IWB dimensions, highlighting the importance of diversity in fostering innovation. Conversely, RR negatively impacts IG, IC, and II, indicating that excessive focus on rewards can stifle creativity. WB has a mixed impact; it negatively affects IE but enhances IG, IC, showing that a balanced work-life environment supports innovative behaviors. These findings provide valuable insights for organizations aiming to enhance innovation capabilities through targeted HR practices. It thus adds value to the latent literature of IWB.

Outcomes Associated With Wound Care Nurses' Practice for the Management of Venous Leg Ulcers: A Scoping Review.

The role of the wound care nurse is identified as a key element in the management of patients with venous leg ulcers (VLUs). However, the literature offers fragmented knowledge of the outcomes associated with their practice. To identify, summarize, and map all available evidence based on the wound care nurses practice for the treatment of VLUs. A scoping review was conducted in May 2024 on PubMed, CINAHL, Scopus, and Cochrane Library databases. Observational or experimental studies related to patients affected by VLUs and cared for by wound care nurse specialists were included. Of the 1562 articles reviewed, 9 studies met the inclusion criteria. The most frequently measured outcomes were clinical responses and included healing rate and ulcer recurrence. Less frequent outcomes were patient-reported and resource utilization measures. This review indicates a general predominance of outcomes related to objective clinical responses. Future studies should broaden the types of outcomes by also including patient-reported parameters (eg, pain, quality of life, stress) in order to gain greater evidence on the impact of wound care nurse specialists in the care of patients affected by VLUs.

Navigating the future of brand experience: insights from bibliometric analysis

Purpose This study aims to consolidate the fragmented knowledge on brand experience within marketing literature, evaluating its historical development, current state and prospective future. It seeks to offer a comprehensive understanding of the construct’s academic and practical contributions over the years, identify key topics and propose a research agenda for the field. Design/methodology/approach Adopting a bibliometric analysis, the authors conduct a detailed examination of the literature on brand experience. Performance analysis and science mapping techniques are used to evaluate 774 articles related to brand experience published from 1981 to 2023 and indexed in the Scopus database. Findings The bibliometric analysis reveals a significant expansion in the body of knowledge surrounding brand experience, highlighting its evolution over the past four decades. Key thematic areas and the intellectual structure of brand experience research are identified, evidencing both the growth and the diversification of the field. The study synthesizes these insights into a coherent research agenda, pinpointing emerging areas ripe for future investigation. Originality/value By systematically synthesizing longitudinal contributions to brand experience and using a bibliometric approach for analysis, this study provides a novel perspective on the topic. It not only maps the historical trajectory and current landscape of brand experience research but also sets the direction for future scholarly endeavors, marking a unique contribution to both academic research and practical application in marketing.

Experience of patients and healthcare practitioners with interdisciplinary care in immune-mediated inflammatory diseases with skin manifestations: A systematic scoping review.

Immune-mediated inflammatory diseases with skin manifestations (skIMIDs) may affect multiple organs. Interdisciplinary care (IC) can overcome the fragmented knowledge used in the management of skIMIDs. In skIMIDs-care, patient and healthcare practitioner (HCP) satisfaction with IC is unknown. Yet, patient experience influences adherence and medical outcomes. Moreover, HCP experience influences professional satisfaction, perception of care quality and autonomy. Thus, measuring patient and HCP experience can identify areas for improvement in care delivery. The aim of this scoping review was to gather evidence on patient- and HCP perceptions on skIMID-IC and their measurement. We systematically searched on 30 August 2023 PubMed/EMBASE/Cinahl/Web of Science. Eligible studies had to address explicitly experience of IC by patients or HCPs. A conceptional synthesis appraised how experiences were measured and IC was perceived by patients and HCPs. The database search resulted in 21 eligible studies. Fourteen described positive patient and HCP experiences with a specific IC programme. These studies were heterogenous on the levels of IC models, medical conditions, measurement methods and outcomes. Despite that patients and HCPs rated such tailored IC models positively, seven studies on a geographically broader region reported less satisfaction with IC. A conceptual analysis identified domains deemed as important regarding IC: 'general satisfaction', 'patient-HCP interaction', 'information', 'functioning of IC', 'benefits of IC'. For patients, 'access to care' and 'disease management' were added. For HCPs 'illness perception' was deemed relevant. The heterogeneous way in how IC experience is captured hinders strong conclusions, which mandates the development of standardized analysis tools. Experience with IC in skIMIDs strongly depends on the context of the provided IC and patient experience seems to be better in local IC programmes than systems rolled out in larger geographical regions. Future need is to develop a core IC outcome set including medical outcomes, process indicators, financial indicators, plus patient and HCP care experience measures.

The concept of cone opponency may extend beyond accommodation, to myopiagenesis and emmetropization, for a better peripheral defocus lens.

Myopia has ever-rising prevalence in the past few decades globally. Its pathogenesis is still not adequately elucidated especially at the signal transduction level. For the environmental risk factors, there is a large body of fragmented knowledge about the visual inputs for accommodation, myopiagenesis and emmetropization, with the latter two being essentially local processes. The red-green and yellow-blue chromatic pathways, together with the underlying L-M and S-(L+M) cone opponency, seem to be the common denominator amongst them. In this review, experimental and observational evidence are summarized to delineate the interplay of them. This review may establish the pivotal role of longitudinal chromatic aberration (LCA) for a mechanistic approach to future research in myopia control. This review looks into the mechanistic processes underlying myopiagenesis and emmetropization, specifically focusing on chromatic aberration and cone opponency in vision as pivotal components. The roles of longitudinal chromatic aberration (LCA) and cone contrast in myopia onset and development are intriguing. How visual input and chromatic pathways (specifically, red-green and blue-yellow cone opponency) contribute to accommodation that may trigger emmetropization mechanisms, thereby influencing eye growth patterns are explored and discussed. In brief, this manuscript delves into the physiology of visual processing and highlights a foundational aspect of visual science that may account for a "Go" or "Stop" signaling in axial eye growth. It further proposes a metric to gauge myopia-inhibiting optical devices such as the peripheral defocus lenses, for its best iteration. Future research in the above-mentioned areas is warranted.

Harnessing AI

Integrating digital tools in education is essential for innovative teaching and learning (Msafiri et al., 2023). However, their mere availability does not ensure effective implementation. This presentation explores the development of an AI-powered chatbot designed to assist academics and learning designers in effectively using digital tools. Guided by the Technological Pedagogical Content Knowledge (TPACK) model and the Teaching Enhanced Learning Accreditation Standards (TELAS) framework, this project aims to bridge the gap between tool availability and effective usage. Effective implementation of digital tools begins with human factors, precisely the vision and expertise of educators. To achieve this, the TPACK model highlights three critical domains: technological knowledge, content knowledge, and pedagogical knowledge (Mishra & Koehler, 2006). These domains are critical to the effective and successful implementation of digital tools in the teaching-learning ecosystem. Our AI-powered chatbot leverages the TPACK model to connect educators’ pedagogical and content knowledge by conducting a needs assessment based on user-provided inputs and recommending suitable tools for enhanced teaching and learning. The chatbot interacts with users through precise, conversational inquiries, gathering detailed information on course titles, learning objectives, students' expectations, delivery methods, interaction types, desired tool functionalities, and accessibility considerations. This comprehensive approach ensures the chatbot provides well-informed, contextually relevant responses and resources to the users, thereby enhancing instructional effectiveness. By offering continuous support through our self-enrolled teaching support Canvas site, the chatbot ensures educators have access to assistance when needed, making it particularly beneficial for busy academics and learner designers. This then breaks the traditional barriers of time and place and offers users flexibility and real-time quality digital tool solutions. The chatbot knowledge base is built from a comprehensive tool document that maps each available tool at the [university name] to the TELAS framework. This framework sets rigorous standards and criteria for evaluating the quality of online environments, making it ideal for assessing tools across critical domains, including the online learning environment, learner support, learning and assessment tasks, and learning resources. By configuring this quality resource, the chatbot empowers educators to develop a deeper understanding of effectively integrating technology into their teaching practices for a successful learning experience Additionally, the chatbot provides real-time solutions on available tools, supporting continuous professional development and helping educators stay updated with the latest digital tools for their teaching needs. It offers use cases and knowledge base articles, addressing fragmented knowledge, time constraints, and technical expertise gaps, making it a valuable resource for newly recruited learning designers or academics to easily familiarise and induct themselves in the digital tool space. It offers quality assurance in tool usage by employing the TELAS framework. Moreover, the user data collection can provide insight for organising tailored training and support for academics. In conclusion, this presentation demonstrates the practical application and benefits of our AI-powered chatbot to improve digital tool integration in education. Using the TPACK and TELAS frameworks, the chatbot provides personalised support, helping educators seamlessly incorporate technology into their teaching and offering real-time recommendations to address digital tool challenges. It helps both new and experienced educators enhance their teaching, combining technology, pedagogy, and content knowledge for effective learning.

Fishing for more than shellfish: a systematic review of fish community monitoring of shellfish reefs

Shellfish reefs, characterized by habitat‐forming bivalves, are increasingly recognized as globally significant coastal ecosystems and valuable fish habitats. Shellfish reefs provide structural refugia, foraging grounds, and nurseries for diverse fish communities, including species with socioeconomic value. However, efforts to quantify the value of shellfish reefs as fish habitats are challenged by the limited and fragmented knowledge of published monitoring practices. Here, we systematically assess 116 peer‐reviewed studies to provide a global overview of literature evaluating fishes in these ecosystems. Research was unevenly distributed, with 67% of the studies concentrated in the United States, 61% on restored reefs, and 83% focused on oyster reefs. Few studies have directly compared fish communities between natural versus restored, or intertidal versus subtidal shellfish reefs. Methods to quantify fishes varied based on research objectives, tidal zonation, and targeted subsets of the fish assemblages. Gill nets, substrate trays, and underwater video stations were the most common methods, with 44% of studies deploying more than two methods to survey fish communities. Differences in the monitoring methods, research designs, and variables reported were also synthesized and discussed. From this review, we identified knowledge gaps and monitoring trends in fish community assessments that can guide future shellfish reef research and conservation efforts.

From Fragmented Facts to Unified Knowledge: Exploring Concept Mapping in Neuromuscular Physiology Among First-Year Medical Students.

Background First-year medical students may find it challenging to integrate complex physiological concepts, particularly neuromuscular physiology. While concept mapping has shown promise in medical education, its specific application in teaching intricate physiological mechanisms still needs to be explored. With this background, the objective of the study was toassess the feasibilityof using concept mapping among first-year medical students and to explore the perception of students about concept mapping as an educational tool. Methods A mixed-methods study was conducted with first-year medical students (n = 110) of the 2023-2024 batch at All India Institute of Medical Sciences, Bhubaneswar, India. A briefing on the basic theories of concept mapping was carried out. Students participated in a structured concept mapping session focusing on the mechanism of muscle contraction. Students (two students in a group) created concept maps illustrating relationships between neuronal architecture, action potentials, neuromuscular transmission, sarcotubular system, excitation-contraction coupling, and muscle contraction processes. Data collection included digital submissions of concept maps and structured feedback questionnaires. Two faculty members evaluated the concept maps, and student feedback was analyzed using quantitative and qualitative approaches. Results A total of 110 first-year undergraduate medical students participated in the study and created 55 concept maps. The students scored 17.32 ± 1.7 out of 20 maximum achievable scores, which corresponds to an average of 86.59%. Seventy-five (68.18%) students rated the technique as excellent, 32 (29.09%) found it good, and only three (2.73%) rated it as average. Ninety-eight (88.8%) students strongly agreed or agreed that it provided a practical learning experience and found it refreshing compared to traditional lectures. Additionally, 102 (92.7%) students acknowledged its ability to stimulate creative thinking, and 102 (92.7%) also reported effective collaboration with peers. According to 82 (74.5%)students, concept mapping also facilitated in-depth knowledge acquisition, demonstrating its effectiveness in promoting active, engaging, and collaborative learning. Qualitative analysis revealed that concept mapping helped the students organize complex information, encourage critical thinking, improve retention through visual learning, promote collaborative knowledge-building, and facilitate self-assessment of their understanding. Conclusion Concept mapping can be used as apedagogical tool for teaching complex neuromuscular physiology concepts to first-year medical students. The technique can bridge the gap between fragmented knowledge and integrated understanding while promoting active learning and critical thinking. The majority of the students rated it as excellent or good. It significantly enhances engagement, creative thinking, and deeper subject understanding compared to traditional lectures. Qualitative feedback underscores its role in improving comprehension of complex concepts and critical thinking skills.

A scoping review of robotic technology in hospitality and tourism

酒店与旅游业机器人技术的范围综述研究目的随着人工智能（AI）的颠覆性发展, 机器人在酒店和旅游业中的角色正迅速从自动化工作转变为情感性工作。尽管学术界已开始研究机器人在酒店和旅游业中的应用, 但对于机器人不同角色的具体图像仍不清晰。本研究系统性地汇总并评估了发表在社会科学引文索引（SSCI）列出的酒店与旅游期刊中的现有机器人技术相关研究, 以连接零散的知识, 并提供关于酒店与旅游业机器人技术的最新概览。研究方法本研究检索了134篇与机器人技术相关的文章, 并采用描述性分析和内容分析方法对检索到的文章进行了深入分析。研究发现最常见的关键词是服务机器人。机器人技术分为AI辅助、AI生成、机器人技术拟人化(RTA)促进和RTA中介。研究影响未来的研究可以考虑从旅游供应商的角度进一步探索服务机器人。还建议对机器人技术进行更全面的分类。研究创新本研究通过提供酒店与旅游研究中机器人应用的整体视角, 丰富了机器人研究领域。本研究还尝试明确潜在的研究方向, 为未来的研究扩展提供指导。

Commercialization of scientific misconduct: the challenge of paper mills

Abstract According to an estimate, there are at least 400,000 papers in the scientific literature originating from paper mills, which are for-profit companies that guarantee the publication of low-quality papers. There is evidence that such papers are accompanied by various forms of scientific misconduct, including plagiarism, image duplication, falsification, and fabrication of data. These papers are cited and included in systematic reviews and meta-analyses, which have negative consequences for science and related disciplines. The scientific community has fragmented knowledge on paper mills, and many paper mills go undetected. Current resources of stakeholders are not sufficient to detect and prevent journals from publishing fraudulent papers. The goal of this presentation is to raise awareness of the paper mills problem and to discuss general ‘red flags’ of such papers, as well as possible measures to prevent editors and journals from publishing them. These measures may include open peer review, editor training, research on paper mills, improvement of detection methods, and united actions by stakeholders.

Development and validation of a smartphone based app to guide the differential diagnosis in patients with primary left ventricular hypertrophy: the Thick Heart App

Abstract Introduction Patients presenting with primary Left Ventricular Hypertrophy (LVH) suffers from a diagnostic delay quantified in years. They are often misdiagnosed because of both physician-related and disease-related reasons including fragmented knowledge among different specialties and rarity of the conditions. Purpose We developed and validate a free digital support tool in the form of an App to provide support and to guide the physician in the differential diagnostic process of patients presenting with primary LVH. Methods We studied 712 patients with definitive diagnosis of sarcomeric HCM or one of its genocopies (414 (58%) males, 48±24 years) referred to four tertiary centers in Europe. Pre-specified RF were categorized into five domains: family history; signs/symptoms; electrocardiography, echocardiographic and laboratory. Each patient’s characteristics were inserted by two independent and blind investigators on the App of the digital support tool. The possible diagnostic outcome was categorized as follows: (a) most likely diagnosis (age range for the condition, at least 1 extremely specific RFs or >1 specific RF; (b) possible diagnosis (age range, 1 specific RF); (c) less likely diagnosis (outside age range, no RF selected). Results Ris were common in patients presenting with a genotyped HCM (2568 RFs, 3.5 per patient). RF on physical examination was associated with non sarcomeric aetiology (318/319 physical examination RF identified in non-sarcomeric HCM), whereas 68% of RF associated with sarcomeric HCM were derived from accurate ECG and echocardiography analysis. Sarcomeric HCM, TTR-amyloidosis, Danon and PRKAG2 cardiomyopathy relied extensively on ECG and echocardiographic systematic analyisis (68%, 69%, 67% and 69% respectively). In contrast, AFD, Friederich’s ataxia, Noonan syndrome with multiple lentiges (NSML), mitochondrial, Pompe and Noonan cardiomyopathy presented red flags potentially identifiable in the general practioner setting by anamnesis, physical examination and routine laboratory (57%, 59%, 52%, 57%, 57% and 58% respectively) in the vast majority of case. A total of 697/712 (97.8%) were correctly categorized in the most likely and possible diagnosis section. The App proved to be sensible for sarcomeric HCM, FD (0.99 and 0.91, NPV 0.98 and 0.83) and extremely capable in the identification of rare causes of LVH (Danon, Friederich’s ataxia, LEOPARD, Pompe, Noonan and PRKAG2 diseases). By design, specificity was not high, in particular for sarcomeric HCM and FD. Conclusions The present validation of an App based free digital support tool in the form of an App proved to be extremely sensible in providing the support to the screening of different causes of primary LVH in patients presenting with a HCM phenotype. Further external and multicenter validation is warranted.

Distinctive and highly variable bird migration system revealed in Eastern Australia

Our understanding of bird migration is heavily biased toward long-distance movements in the Northern Hemisphere,1,2,3 with only fragmented knowledge from the Southern Hemisphere.4,5 In Australia, while some species migrate,4,6,7,8 the timing and direction of large-scale, multi-species seasonal movements remain critically understudied due to the complexity of movement in this region and a lack of research personnel and infrastructure.7,9 It is still unclear whether there are pronounced and structured mass movements resembling those in the Northern Hemisphere.10,11,12 Here, we analyze data from a latitudinal transect of weather radars spanning the entire coastline of Eastern Australia to determine the magnitude, directions, timing, and variability of bird migration compared to that of Northern Hemisphere migration systems. Bird movements exhibited sequential seasonal peaks along a latitudinal gradient with seasonally contrasting flight directions, confirming that a structured bird migration system exists. Three features were distinct from Northern Hemisphere migrations. First, distinct movements occurred around sunrise with comparable magnitudes to nocturnal migration, likely representing a strong diurnal component to the bird movements. Second, migration intensity averaged 0.06 million birds km-1 in autumn, much lower than Northern Hemisphere migrations.11,12,13 Finally, flight directions were more dispersed, and the timing and amount of migration were highly variable between years compared to Northern Hemisphere migration systems, perhaps in response to variable climate.7 This first quantification of continental-scale movements in Australia revealed a distinctive migration system, and it suggests that much remains to be discovered about the ecological and evolutionary factors shaping animal migrations in the Southern Hemisphere.

Construction of a Curriculum System for University Physics Experiment Courses Integrating Knowledge Graphs

With the continuous development of physics and advancements in educational technology, traditional teaching models for university physics experiment courses have gradually revealed issues such as fragmented knowledge points and disconnection between theory and practice. To enhance students' systematic understanding and comprehensive application of knowledge, knowledge graphs have been introduced as an emerging educational tool within the physics experiment curriculum system. This paper analyzes the current application of knowledge graphs in physics experiment teaching, proposes new pathways for constructing experimental courses based on knowledge graphs, and designs a systematic knowledge graph curriculum system in response to the needs of student autonomous learning and teaching assessment. The study shows that knowledge graphs significantly enhance the integration of physics experiment knowledge, improve students' self-directed learning abilities, and increase teaching effectiveness. Future developments will further promote innovation and advancement in physics experiment teaching through the integration of artificial intelligence, big data, and other technologies.

Social Rationality and Human Reasoning: Logical Expressivism and the Flat Mind.

This paper attempts to reconcile the claims that the mind is both flat (Chater, 2018) and highly rational (Oaksford & Chater, 2020). According to the flat mind hypothesis, the mind is a mass of inconsistent and contradictory fragments of experience. However, standard accounts of rationality from formal epistemology argue that to be rational, our beliefs must be consistent, and we must believe all the logical consequences of our beliefs. A social account of rationality is developed based on Brandom's (1994) logical expressivism, in which respecting the norms of logic and probability theory is still central but where these standards apply to our public commitments in social dialogical contexts rather than to our individual belief systems (Skovgaard-Olsen, 2017). According to this account, even if someone's individual beliefs are inconsistent, they cannot be condemned as irrational if they acknowledge the inconsistency and seek to resolve it. It is shown how this approach interacts with people's fragmented and shallow world knowledge, and its social distribution yields some counterintuitive consequences, such as it sometimes being rational individually not seeking to resolve contradictions. Other consequences of this social expressivist approach are considered, including for dual process theories of reasoning, our view of beliefs, the status of logic, and Fodor's (1983) view of central systems. It is concluded that people can have flat minds and yet be highly rational.

Rewriting the Future

This food-for-thought paper challenges traditional paradigms and proposes a metamodern framework for redefining the optics on the role of education in society, advocating for a new social contract rooted in shared values, inclusivity, and interdisciplinary collaboration. How can we democratize higher education and empower individuals to navigate the uncertainties of the 21st century? Is moving beyond fragmented knowledge and fostering skills-based education truly beneficial? Moving beyond postmodern fragmentation, metamodernism emphasizes cooperation and holistic development, presenting a blueprint for transforming society by bridging individual agency and collective progress. The Inner Development Goals (IDG) promotes skills-based and humanity-focused leadership that addresses the inner and outer dimensions of sustainable development. This transformative skills-based approach to leadership encourages educators and institutions to embrace complexity and ambiguity, preparing future leaders to leverage inherited chaos for meaningful change. This approach challenges traditional paradigms and calls for a dynamic interplay that aligns with the metamodern ethos.

Human resources well-being in innovative start-ups: Insights from a systematic review of the literature

This study aims to unify the fragmented knowledge on human resource (HR) well-being in innovative start-ups, a critical factor in their success. Through a systematic literature review, we analysed 42 peer-reviewed articles using MySLR software to identify key themes and dimensions in this area. Our findings suggest that HR well-being in start-ups can be understood as a higher-order construct, encompassing three main dimensions: job satisfaction, psychological well-being, and work-life balance, including gender-related considerations. The study's implications are significant for academics and practitioners; as such, the proposed framework serves as a reference model for future research and a practical guide for start-up managers to improve employee well-being. The originality of this study lies in its comprehensive approach to synthesising existing research on HR well-being in start-ups, providing a unified framework that clarifies previously unclear and fragmented findings in the literature.

Public sector entrepreneurship: an integrative review

AbstractPublic sector entrepreneurship (PSE) has emerged as a vital field, exploring how public servants leverage opportunities to create public value amidst unprecedented and unpredictable challenges in governance. This article navigates the expansive landscape of PSE literature, consolidating diverse theoretical perspectives and fragmented knowledge into a cohesive framework. Through an integrative and systematic review of 100 articles, we identify PSE as a multi-level phenomenon characterized by a context-dependent combination of proactivity, innovation, and risk-taking, that serves to drive change and renewal, promote resilient organizations, and resourcefully exploit opportunities for public value creation, with the ultimate aim of achieving positive societal and environmental outcomes. By proposing an analytical framework that embraces the fluid nature of PSE and integrating diverse perspectives, this study enriches our understanding of the intersection between entrepreneurship and public administration. It advocates for a nuanced, sector-specific approach to PSE, laying a solid foundation for further advancements in the field.

Machine Learning‐Guided Design and Synthesis of Eco‐Friendly Poly(ethylene oxide) Membranes for High‐Efficacy CO2/N2 Separation

AbstractMachine learning (ML)‐guided polymer design and synthesis will enable the next‐generation membrane material discovery for CO2 capture. Herein, ML is leveraged to establish a structure‐performance relationship for the eco‐friendly poly(ethylene oxide) (PEO) membrane and guide its design for high‐efficacy CO2/N2 separation. Through a rational fragment representation method and knowledge sharing across membranes fabricated by different methods, the precise prediction of CO2/N2 separation performance for PEO membranes with high Pearson correlation coefficients (0.973 for permeability and 0.875 for selectivity) despite data scarcity is demonstrated. Expertise knowledge and external monomer databases are then utilized in a human‐in‐the‐loop workflow to effectively explore high‐performance PEO membranes in the design space. Several discovered thermally crosslinked PEO membranes achieve CO2/N2 separation performances close to the 2019 Robeson upper bound, which are promising for practical large‐scale carbon capture applications. Model interpretation techniques are employed to provide data‐driven insights into the design of PEO membranes for high‐efficacy CO2/N2 separation. Further life cycle assessment results reveal the outstanding advantage of discovered PEO membranes in terms of environmental friendliness. The work highlights the enormous potential of ML in expediting the discovery of high‐performance carbon capture membrane materials.

The antinomic nature of socialization in the space of digital culture

The relevance of the study is due to the intensive development of digital technologies, which is generated by a specific element of social space virtual space. The dynamic development of digital culture has led to the formation of processes and phenomena that significantly affect both the functioning of the social system and the socialization of an individual.The purpose of the work is to reveal the features of the influence of digital culture on the socialization of a modern person.Objectives: to characterize the phenomenon of digital culture; outline the features of socialization of a person in the conditions of digital culture.Methodology. The methodological basis of the article includes: a systematic method that allows identifying the main elements of the space of digital culture, which determine the specifics of the socialization of a person; analysis and synthesis to reveal the essence and specifics of socialization in the space of digital culture.Results. In modern socio-cultural conditions, the space of digital culture is defined as a specific factor of socialization, which led to the selection and establishment of a new concept of "digital socialization", which is considered to be a defining component of the socialization process of a person.Conclusions. The space of digital culture creates more favorable conditions for the self-realization of the individual, since in it the results of the subject's creative activity are accepted by others as an acceptance of his individuality and the maximum activity of the individual is ensured when determining the trajectory of his development.At the same time, actual or potentially negative results of transferring the process of socialization to the Internet space are highlighted. This, first of all, is far from being an equivalent replacement for real virtual-simulation communication; strengthening of social anomie; the dominance of fragmented and intuitive knowledge, as well as extreme value relativism in the process of innovative transformations in the sphere of socialization, etc.