Global Connectivity Research Articles

Awareness and knowledge about Female Genital Schistosomiasis among European healthcare workers

Abstract Background Female Genital Schistosomiasis (FGS) is a gynaecological manifestation of persistent infection with Schistosoma haematobium, which can lead to severe consequences, such as miscarriage and infertility. It is estimated to affect 56 million women globally, mostly in sub-Saharan Africa (SSA). Most migrants in Europe are female, often from SSA and therefore at risk of FGS, hence healthcare workers (HCWs) knowledge of FGS is essential for the provision of adequate care. This study aims to assess awareness and knowledge of FGS among European HCWs to inform strategies to improve the management of migrant health. Methods In June 2023 - January 2024 we conducted a cross-sectional online survey targeting medical doctors (MDs), nurses and midwives (NMs) working in fields of infectiology, gynaecology, urology, family, travel, internal or occupational medicine. The prevalence of FGS awareness and knowledge was estimated, Poisson regression was used to identify factors associated with MDs’ awareness of FGS. Results Among 922 surveyed HCWs, 43.7% (CI95%: 39.6-47.9) of MDs and 12.0% (CI95%: 8.8-16.0) NMs have heard about FGS. FGS awareness among MDs was associated with work in clinics for migrants (prevalence ratio (PR)=1.33, CI95%: 1.10-1.59) and specialization, being lower for gynaecology (PR = 0.67; CI95%:0.51-0.88), and family medicine (PR = 0.42, CI95%:0.30-0.59). Among MDs, 7.1% (CI95%: 5.1- 9.5) had medium knowledge, while 25.3% (CI95%: 21.8-29.0) had low, and 67.6% (CI95%: 63.7-71.4) no knowledge on symptoms, complications or diagnostic tools for FGS. FGS knowledge was mostly acquired through academic curricula (34.7%), scientific literature (28.4%) and conferences (25.6%). Conclusions The study shows limited awareness of FGS among European MDs and NMs, and highlights that European HCWs may not be adequately prepared to deal with diseases that are gaining relevance on the European continent due to the global connectivity and the dynamic nature of our societies. Key messages • In Europe, the health specialities that are the first point of patient access to the health system show a low level of awareness and knowledge of Female Genital Schistosomiasis. • Rising knowledge of FGS among European HCWs through academic curricula and continuous medical education is important to ensure adequate diagnosis and management of disease in migrant populations.

Understanding following patterns among high-performance athletes

Abstract Professional sport enhances social interaction among athletes through meetings such as training groups, large-scale competitions and sponsored events. Among these, the Olympic Games represent the largest international competition, having a unique global impact. This event is assumed to promote international cooperation through the values of sport, becoming an opportunity for creating global connections between athletes. Here we want to understand the properties of the following activity, an indicator of the information flows, between highly successful Olympic athletes both at microscopic and macroscopic scales. To do so, we built a database including the Twitter usernames of Olympic medallists in Tokyo 2020, using it for creating the follower-followee network, a directed network representing who followed whom in this social network. From our database of 1052 athletes, we found 7326 connections among 964 athletes. The most popular athletes, those with highest number of followers, were Kevin Durant (basketball, USA), Allyson Felix (athletics, USA), Teddy Riner (judo, France), Alex Morgan (football, USA) and Simone Biles (gymnastics, USA). The macro-scale network structure displayed organized patterns related to microscopic—node—properties such as sex, country and sport, evidencing assortative connectivity patterns. These assortative patterns highlighted the need for a model quantifying the features’ importance in the followees choice, which we introduced through a gravity approach modelling the number of connections between homogeneous groups. Our research remarks the importance of datasets built from public exposure of professional athletes, serving as a proxy to investigate interesting aspects of many complex socio-cultural systems at different scales.

Beyond influence: unraveling the complex tapestry of digital influencer dynamics in hyperconnected cultures

Purpose This paper aims to the intricate relationship between digital influencers (DIs) and their followers, aiming to develop a comprehensive framework that explains how influence works in the digital world. It focuses on understanding the cultural aspects that shape these relationships in today’s global and digital marketplace. Design/methodology/approach This study employs a holistic methodology, intertwining historical, cultural and theoretical insights to decode the DI phenomenon. Applying a Grounded Theory approach, this paper coded articles into categories, developed abstract concepts and refined them through cycles of literature collection and analysis that allowed identifing gaps in the Influencer Marketing field. This comprehensive review and inductive analysis of globalization, mediated communication and digital interactions aim to unravel the intricacies of digital and virtual influence. This paper’s theoretical development advances propositions that dissect the facets influencing digital adoption, usage, interest and value perception, leading to a detailed model of digital influence grounded in both theory and real-world examples. Findings This research uncovers the significant impact DIs have, driven by global connections and the way we communicate in the digital age. Historical context situates DIs within the broader narrative of mediated persuasive communication. A preliminary typology of DIs and influence contexts forms the foundation for further exploration. Research limitations/implications This study enhances the discussion around DIs by considering the influence of technology and culture together. It draws from the thoughts of leading thinkers on how technology connects us, providing a strong foundation for future studies. Practical implications As digital influence and the surrounding technology continue to change, it’s important to think critically about these trends. This research offers valuable insights for businesses looking to navigate the digital landscape effectively, helping them make better strategic decisions about their online presence. Originality/value This study breaks new ground by offering a detailed categorization of DIs and proposing a fresh way to understand their role. It links important ideas from the past about persuasion through media to the current state of digital influence, offering insights into how digital trends might affect communication strategies.

Enhancing Cross-Cultural Understanding: The Role of Digital Platforms in Cultural Exchange for Chinese Graduate Students at Northwestern University

The rapid growth of digital platforms has reshaped the educational-rich landscape, introducing dynamic ways of cultural exchange that transcend traditional boundaries. This paper explores the unique potential of online cultural exchange to promote cross-cultural understanding and community building for students, with a special focus on Chinese graduate students in Northwestern University during their short spring break. As global connectivity increases, it becomes increasingly important to leverage these digital tools to facilitate meaningful cultural interactions. This study argues that social media platforms play a key role in this effort, enabling students to engage in cultural exchange activities that are both convenient and impactful (Abbas et al., 2019). Integrating digital tools into educational and cultural environments has revolutionized the way students interact with different cultural experiences. Social media platforms, in particular, offer unparalleled opportunities for students to connect with peers from different cultures, share knowledge and engage in collaborative activities. These platforms provide a flexible and accessible means for students to immerse themselves in cultural learning outside of geographical constraints. Moreover, the interactivity of social media fosters a sense of community and common purpose, which is essential for successful cultural exchange programs. While there are many advantages to using social media for cultural communication, there are also significant challenges that need to be addressed. The potential for distraction, information overload, and reduced face-to-face interaction could undermine the effectiveness of these platforms in educational Settings. In addition, given the differences in social media usage patterns among different demographic groups, such as gender differences, it is critical to ensure that programs are inclusive and effective. This article aims to explore these complexities and offer solutions to maximize the benefits of social media while mitigating its drawbacks.

Global Marine Heatwaves Under Different Flavors of ENSO

AbstractMarine heatwaves (MHWs) have caused devasting ecological and socioeconomic impacts worldwide. Understanding the connection of regional events to large‐scale climatic drivers is key for enhancing predictability and mitigating MHW impacts. Despite the reported connection between MHWs globally and El Niño–Southern Oscillation (ENSO), establishing statistically significant links between different types of ENSO events and MHWs remains challenging due to the limited duration of observational data. Here, we use 10,000 years of simulations from a Linear Inverse Model (LIM) to address this issue. Our findings reveal distinct connections between MHWs and ENSO, with diverging influences from different flavors of El Niño and La Niña events. In addition, under long‐lasting El Niño conditions, the likelihood of MHWs increases by up to 12‐fold in the Indian and Pacific Oceans. This study highlights the global connections between ENSO diversity and variations in MHW events.

Enhanced stimulated Raman and fluorescence imaging by single-frame trained BDN

Hyperspectral and multispectral imaging capture an expanded dimension of information that facilitates discoveries. However, image features are frequently obscured by noise generated from the limited photodamage threshold of the specimen. Although machine learning approaches demonstrate considerable promise in addressing this challenge, they typically require extensive datasets, which can be difficult to obtain. Here, we introduce BiFormer denoising network (BDN), designed to effectively and efficiently extract image features by utilizing both local and global level connections, sparse architectures, and fine-tuning. Experimental results indicate that BDN enhances the quality of stimulated Raman scattering (SRS) images by up to 16-fold in signal-to-noise ratio (SNR), particularly improving subtle features at higher spatial frequencies. Furthermore, BDN is successfully adapted to fluorescence imaging, achieving significant improvements in SNR and order-of-magnitude reduction in exposure time, thereby showcasing its versatility across various imaging modalities. Collectively, BDN exhibits substantial potential for spectroscopic imaging applications in the fields of biomedicine and materials science.

Relationship Between Organisational Innovation and Organisation Performance: A Study of Nigeria Bottling Company

In an increasingly competitive business environment, the role of organisational innovation as a driver of performance is more crucial than ever. This study investigates the relationship between organisational innovation and organisational performance with a specific focus on Nigeria Bottling Company. Using a mixed-methods approach, the study explores how innovations in product development, processes, and management systems contribute to enhanced operational efficiency, market share, and financial outcomes. The study adopts a descriptive cross-sectional survey. The target population for this study consisted of two hundred and forty-five (245) staff members from Nigeria Bottling Company. Data was collected through structured questionnaires with key personnel across various departments within the organisation and analysed using descriptive statistics and regression analysis for the hypotheses. The study revealed that film size innovation is vital for a company's success in today's highly competitive business environment and leads to higher productivity, meaning that the same input generates a greater output. Innovatiocontributeste to firms’ success in terms of better performance in the form of higher profits, lower production costs, more efficient working procedures, and better relationships with customers. Furthermore, finding shows that creativity and innovation helps and improves the work of employees together with improving organisational performance. The study concludes that fostering a culture of continuous innovation is essential for sustaining competitive advantage in the beverage industry. It is therefore recommended that technological innovation be incorporated at all levels. The management of the organisation has to design an effective and timely market innovation strategy and communicate it to all staff members to enhance organisational performance and productivity. Organisations should consider innovation that is either market, product or organisation-based to improve and increase the organisational performance as innovation is significant to new product development, product modification and creation of a new market as experienced in new product lines like increase in online marketing, online purchase of different products and global connection of markets into one.

Research on the Path of Further Deepening the Reform and Internationalization of English Education in the Hainan Free Trade Zone

With the establishment of the Hainan Free Trade Zone (FTZ), the internationalization of English education has become a key element of the region’s educational reform efforts. As globalization intensifies, fostering an internationalized English education system is crucial for improving the competitiveness and global positioning of the Hainan FTZ. This study explores the multiple pathways and strategies for promoting the internationalization of English education in the Hainan FTZ, focusing on aspects such as policy support, curriculum reform, teacher training, international collaboration, and the effective allocation of educational resources. By examining the current state of English education in the region, identifying key challenges, and drawing insights from successful domestic and international cases—particularly from free trade zones elsewhere—this paper offers actionable recommendations. These suggestions aim to enhance the region’s educational outcomes, thereby bolstering the Hainan FTZ’s broader objectives of economic growth and enhanced global connectivity. The proposed strategies also seek to elevate the international stature of the Hainan FTZ as a regional hub for talent development, international exchange, and soft power enhancement.

Fault diagnosis of reducers based on digital twins and deep learning

A new method was proposed to address fault diagnosis by applying the digital twin (DT) high-fidelity behavior and the deep learning (DL) data mining capabilities. Subsequently, the proposed fault distribution GAN (FDGAN) was built to map virtual and physical entities for the data from the established test platform. Finally, the MobileViG was employed to validate the model and diagnose faults. The accuracy of the proposed method with training samples of 600 and 800 were 88.4% and 99.5%, respectively. These accuracies surpass those of other methods based on CycleGAN (98.86%), CACGAN (94.92%), ACGAN (86.45%), ML1D-GAN (82.33%), and transfer learning (99.38%). Therefore, with the integration of global connectivity, an innovative network structure, and training methods, FDGAN can effectively address challenges such as network degradation, limited feature extraction in small windows, and insufficient model robustness.

Correlations between alterations in global brain functional connectivity in patients with major depressive disorder and their genetic characteristics

This study aims to elucidate the neuroimaging changes associated with major depressive disorder (MDD) and their relationship with genetic characteristics. We conducted a global-brain functional connectivity (GFC) and genetic-neuroimaging correlation analysis on 42 MDD patients and 42 healthy controls (HCs), exploring the correlation between GFC abnormalities and clinical variables. Results showed that compared to HCs, MDD patients had significantly decreased GFC values in the bilateral posterior cingulate cortex/precuneus and increased GFC values in the left and right cerebellum Crus I/II. Additionally, a negative correlation was observed between the GFC values of the left cerebellum Crus I/II and subjective support scores, as well as social support revalued scale total scores. We identified genes associated with GFC changes in MDD, which are enriched in biological processes such as synaptic transmission and ion transport. Our findings indicate the presence of abnormal GFC values in severe depression, complementing the pathological research on the condition. Furthermore, this study provides preliminary evidence for the correlation between social support levels and brain functional connectivity, offering insights into the potential association between GFC changes and gene expression in MDD patients.

From Hong Kong to the UK: A Community and Public Health Nursing Researcher's Reflections on an International Fellowship.

Our globalized world means that most public health challenges cannot be tackled alone; they require unified and collaborative working across countries. Overseas fellowships offer an immersive experience that empowers nursing researchers to enhance global collaborations and synergize diverse research expertise from various cultural contexts. This enriched collaboration leads to more innovative solutions to public health issues and significantly enhances the overall impact of their research. This paper presents a self-reflection from the perspective of a community and public health nursing researcher, based in Hong Kong. During a 2-month research secondment at a university in the UK, I explored ways to leverage my fellowship to strengthen global connections, expand collaborations, and enhance my research capabilities in addressing health equity issues among LGBTQ+ populations, particularly concerning sexual violence. By sharing my journey, I aim to inspire more nursing researchers to engage with global academic communities and collectively advance global public health initiatives.

Language Preservation through Popularization of Regional Indian Music: A Data-Driven Approach

The increased global connectivity due to internet penetration has resulted in the dominance of international languages and the decline of regional languages. To help preserve these languages, this study identifies the non-native regions in India that offer the most promising opportunities for expanding the popularity of music for each of the 14 regional languages. It analyses the audio features of 41,000 songs from 14 Indian languages on Spotify, employing two approaches – clustering algorithms and Random Forest Regressors. An overlap between the regions identified by both methods for any given language is considered a robust result, providing greater confidence in the results. The results show that while geographical proximity is a significant factor in determining non-native market fits for the music of a given language, alignment in preferences of audio features driven by cultural similarities plays an integral role as well. The findings have important implications for music industry stakeholders, including artists, management, digital platforms, and governments, who can leverage this data to devise strategies to expand the reach of regional music. This includes designing targeted marketing strategies, fostering cross-regional artist collaborations, and optimizing content recommendation algorithms, among others.

A Beam Hopping Scheme Based on Adaptive Beam Radius for LEO Satellites.

Toward the vision of seamless global connectivity in the 6G era, the non-terrestrial network (NTN) in space-air-ground integrated networks (SAGINs) network architecture is one of the highly promising solutions. From the perspective of relay nodes, NTN includes satellite nodes and space-based platform nodes. As a resource management technology in satellite communication, beam-hopping has garnered significant attention from researchers due to its effectiveness in ad-dressing the disparity between offered capacities and uneven terrestrial traffic demands. Recognizing that the larger beams offer broader coverage but the smaller ones provide better an-ti-interference capabilities and higher throughput, this paper introduces an adaptive cluster-ing-based approach. It provides large, medium, and small user beams to target ground users. The proposed algorithm aims to minimize total system latency and enhance system throughput. Sim-ulation results show that employing the proposed algorithm in the baseline model results in a 3.44% increase in system throughput and a 35.5% reduction in system latency. Furthermore, simulation results based on alternative models indicate that while the proposed algorithm may lead to a slight decrease in system throughput, it brings significant improvements in system latency.

Innovations and Challenges in Primary School English Education in the Industrial Era 4.0

The existence, dynamics, and applicability of English language instruction at the basic school level to the disruptive technology era are all covered in detail in this study. This paper aims to characterize research problems using descriptive-analytical approaches and research methodologies of the literature study type, utilizing literature data from pertinent books, journals, papers, and scientific publications. This study outlines a number of prerequisites for English language instruction in the modern day, including infrastructure and technology, curriculum and instructional strategies, certified teachers, instructional materials and resources, and parental support. The results also show that there are opportunities that can be targeted, such as more extensive access to language learning materials, dynamic and interesting learning opportunities, global connectivity and language exchange, digital applications for language practice, and the provision of a useful system for evaluation and feedback. In the meanwhile, issues include unequal access to technology, unequal user technical proficiency, linguistic difficulties, students' short attention spans and lack of focus, and threats to digital security.

The distinct functional brain network and its association with psychotic symptom severity in men with methamphetamine-associated psychosis

BackgroundIndividuals using methamphetamine (METH) may experience psychosis, which usually requires aggressive treatment. Studies of the neural correlates of METH-associated psychosis (MAP) have focused predominantly on the default mode network (DMN) and cognitive control networks. We hypothesize that METH use alters global functional connections in resting-state brain networks and that certain cross-network connections could be associated with psychosis.MethodsWe recruited 24 healthy controls (CRL) and 54 men with METH use disorder (MUD) who were then divided into 25 without psychosis (MNP) and 29 with MAP. Psychotic symptom severity was assessed using the Positive and Negative Syndrome Scale (PANSS), evaluating (1) large-scale alterations in regional-wise resting-state functional connectivity (rsFC) across 11 brain networks and (2) associations between rsFC and psychotic symptom severity.ResultsThe MUD group exhibited greater rsFC between the salience network (SN)-DMN, and subcortical network (SCN)-DMN compared to the CRL group. The MAP group exhibited decreased rsFC in the sensory/somatomotor network (SMN)-dorsal attention network (DAN), SMN-ventral attention network (VAN), SMN-SN, and SMN-auditory network (AN), whereas the MNP group exhibited increased rsFC in the SMN-DMN and the frontoparietal network (FPN)-DMN compared to CRL. Additionally, the MAP group exhibited decreased rsFC strength between the SMN-DMN, SMN-AN, SMN-FPN, and DMN-VAN compared to the MNP group. Furthermore, across the entire MUD group, the PANSS-Positive subscale was negatively correlated with the DMN-FPN and FPN-SMN, while the PANSS-Negative subscale was negatively correlated with the DMN-AN and SMN-SMN.ConclusionMUD is associated with altered global functional connectivity. In addition, the MAP group exhibits a different brain functional network compared to the MNP group.

The impact of an innovative education and outreach project

In 1995, the ATLAS Experiment at the Large Hadron Collider embarked on an ambitious journey, driven by a passion to ignite curiosity and inspire future scientists. Our quest wasn’t just about uncovering the universe’s mysteries; it was a cosmic odyssey to share the thrill of scientific exploration with all. Our exploratory collection included engaging classroom activities, a dynamic website, captivating videos, a vibrant YouTube channel, global social media connections, and a captivating planetarium show, all intertwined with the exciting search for the elusive Higgs Boson. This scientific program celebrates the enduring curiosity of humanity and the passion that fuels discovery.

The Global and Local Patterns of Reading-Related Cognitive and Ecological Variables in Chinese First-Grade Children: A Cross-Sectional Network Analysis.

In the current study, we tested a network model of reading difficulty by using state-of-the-art psychological network analysis. Four hundred and fifty-three Chinese first-grade children (about 38% female, mean age = 7.00, SD = 0.41) were divided into good (n = 154), competent (n = 147), and struggling readers (n = 152) based on their scores of Chinese character reading. The Extended Bayesian Information Criterion graphical lasso (EBICglasso) method was applied to estimate cross-sectional networks for the three groups. Each network included four cognitive nodes (homophone awareness, morphological structure awareness, phonological awareness, and vocabulary) and two ecological nodes (family socioeconomic status and the number of books at home). Chronological age and nonverbal intelligence were also included in the estimated networks. The global (i.e., global structure and global connectivity) and local patterns (i.e., the most important edges and nodes) in each network were reported. The network comparison results showed that global connectivity was significantly lower among struggling readers than for good readers, implying that a holistic impairment of bidirectional connections among multiple variables relates to the difficulty in learning to read. The theoretical and empirical implications and the significance of applying the network approach to reading research are discussed.

Large Language Models Meet Next-Generation Networking Technologies: A Review

The evolution of network technologies has significantly transformed global communication, information sharing, and connectivity. Traditional networks, relying on static configurations and manual interventions, face substantial challenges such as complex management, inefficiency, and susceptibility to human error. The rise of artificial intelligence (AI) has begun to address these issues by automating tasks like network configuration, traffic optimization, and security enhancements. Despite their potential, integrating AI models in network engineering encounters practical obstacles including complex configurations, heterogeneous infrastructure, unstructured data, and dynamic environments. Generative AI, particularly large language models (LLMs), represents a promising advancement in AI, with capabilities extending to natural language processing tasks like translation, summarization, and sentiment analysis. This paper aims to provide a comprehensive review exploring the transformative role of LLMs in modern network engineering. In particular, it addresses gaps in the existing literature by focusing on LLM applications in network design and planning, implementation, analytics, and management. It also discusses current research efforts, challenges, and future opportunities, aiming to provide a comprehensive guide for networking professionals and researchers. The main goal is to facilitate the adoption and advancement of AI and LLMs in networking, promoting more efficient, resilient, and intelligent network systems.

Increasing hub disruption parallels dementia severity in autosomal dominant Alzheimer’s disease

Abstract Hub regions in the brain, recognized for their roles in ensuring efficient information transfer, are vulnerable to pathological alterations in neurodegenerative conditions, including Alzheimer’s disease (AD). Computational simulations and animal experiments have hinted at the theory of activity-dependent degeneration as the cause of this hub vulnerability. However, two critical issues remain unresolved. First, past research has not clearly distinguished between two scenarios: hub regions facing a higher risk of connectivity disruption (targeted attack) and all regions having an equal risk (random attack). Second, human studies offering support for activity-dependent explanations remain scarce. We refined the hub disruption index to demonstrate a hub disruption pattern in functional connectivity in autosomal dominant AD that aligned with targeted attacks. This hub disruption is detectable even in preclinical stages 12 years before the expected symptom onset and is amplified alongside symptomatic progression. Moreover, hub disruption was primarily tied to regional differences in global connectivity and sequentially followed changes observed in amyloid-beta positron emission tomography cortical markers, consistent with the activity-dependent degeneration explanation. Taken together, our findings deepened the understanding of brain network organization in neurodegenerative diseases and could be instrumental in refining diagnostic and targeted therapeutic strategies for AD in the future.

THE WAR IN UKRAINE AND ITS EXPANSION IN THE BALKANS: GLOBAL IMPACT ASSESSMENT AND OPPORTUNITIES FOR DIPLOMATIC SOLUTIONS

This paper aims to document the actuality of the war between Ukraine and Russia, as well as its global impact. The current event of war/conflict with immediate effect in our region and more widely imposes the evidence of the economic circumstances as well as efforts for solutions! The war in Ukraine is causing a major humanitarian crisis. Ukraine's economy is collapsing and undoubtedly the range of economic consequences will affect the globe given the economic complexity. The trauma suffered by the population will have long-term consequences. The above is the overture and this paper, based on the bibliography and references provided, aims to provide an overview of the chronology of the events surrounding the conflict, the history of the conflict, the consequences and impact of the crisis/war, of an economic, developmental nature, the response of international factors, as well as a perspective on the possibilities for a diplomatic solution. The researched topic explains and provides data about the global implications and impacts, reflects on the economic effects, the effects to the food crisis and argues that carefully calibrated policies and diplomatic channels will be decisive in the unforeseen solution. Ominously, due to the pressure of higher prices for food and other essentials, governments may be tempted to implement price control and subsidy policies, but these may prove counterproductive in the global economy. However, the last chapter underlines that what should not be neglected is the possibility of a diplomatic solution and that it should be based on the mutual acceptance of the parties to give hope for long-term peace. We are limited about predictions, where it will end and what the situation will look like in the medium term, though, this should not stop us from the possibility of recording and evidence that will serve as a comparison for the future, and about the situation and global connections, in the world we live today. The world has changed, and it is a fact that crises wherever they are, bring obstacles in communication and connections of a socio-economic nature, in other parts of the globe.