Search

The spontaneous dynamic characteristics of resting-state functional networks contain much internal brain physiological or pathological information. The metastate analysis of brain functional networks is an effective technique to quantify the essence of brain functional connectome dynamics. However, the widely used functional connectivity-based metastate analysis ignored the topological structure, which could be locally reflected by node centrality. In this study, 23 healthy young volunteers (21–26 years) were recruited and scanned twice with a 1-week interval. Based on the time sequences of node centrality, we promoted a node centrality-based clustering method to find metastates of functional connectome and conducted a test-retest experiment to assess the stability of those identified metastates using the described method. The hub regions of metastates were further compared with the structural networks’ organization to depict its potential relationship with brain structure. Results of extracted metastates showed repeatable dynamic features between repeated scans and high overlapping rate of hub regions with brain intrinsic sub-networks. These identified hub patterns from metastates further highly overlapped with the structural hub regions. These findings indicated that the proposed node centrality-based metastates detection method could reveal reliable and meaningful metastates of spontaneous dynamics and indicate the underlying nature of brain dynamics as well as the potential relationship between these dynamics and the organization of the brain connectome.

Alterations in large-scale brain intrinsic functional connectivity (FC), i.e., coherence between fluctuations of ongoing activity, have been implicated in major depressive disorder (MDD). Yet, little is known about the frequency-dependent alterations of FC in MDD. We calculated frequency specific degree centrality (DC) – a measure of overall FC of a brain region – within 10 distinct frequency sub-bands accessible from the full range of resting-state fMRI BOLD fluctuations (i.e., 0.01–0.25 Hz) in 24 healthy controls and 24 MDD patients. In healthy controls, results reveal a frequency-specific spatial distribution of highly connected brain regions – i.e., hubs – which play a fundamental role in information integration in the brain. MDD patients exhibited significant deviations from the healthy DC patterns, with decreased overall connectedness of widespread regions, in a frequency-specific manner. Decreased DC in MDD patients was observed predominantly in the occipital cortex at low frequencies (0.01–0.1 Hz), in the middle cingulate cortex, sensorimotor cortex, lateral parietal cortex, and the precuneus at middle frequencies (0.1–0.175 Hz), and in the anterior cingulate cortex at high frequencies (0.175–0.25 Hz). Additionally, decreased DC of distinct parts of the insula was observed across low, middle, and high frequency bands. Frequency-specific alterations in the DC of the temporal, insular, and lateral parietal cortices correlated with symptom severity. Importantly, our results indicate that frequency-resolved analysis within the full range of frequencies accessible from the BOLD signal – also including higher frequencies (>0.1 Hz) – reveals unique information about brain organization and its changes, which can otherwise be overlooked.

In the health arena, open innovation approaches strive to address real-world complexity through driving multi-stakeholder collaborative activities that can better identify and respond to complex health needs. This paper will argue for the value of an open ecosystem innovation approach, one that explores the full implications of what it means to be “open” in a health innovation context. To these ends, the paper will outline the origins of open innovation in the health arena, suggesting that it has become an important site for pushing the limits of open methods and challenging mainstream conceptions of the targets of health innovation. Five guiding principles for open ecosystem innovation will then be proposed, drawing on learning from the Knowledge Exchange Hubs for the Creative Economy funded by the UK's Arts and Humanities Research Council. These principles point to a configuration of open activities that are maximally sensitive to (1) knowledge diversity in innovation work; (2) the consequences of adopting an open-orientation across all stages of innovation programming; (3) the value of deepening and broadening the targets of innovation activity; (4) the role of mediation in supporting cross-sector partnerships; and, (5) the importance of operating in an adaptive and sustainable manner in the long-term. A follow-on project from the AHRC Hubs—Dementia Connect—sought to apply this learning to an important health focus: dementia and the role played by creative participation in delivering important health outcomes. Through Dementia Connect, the applicability of open ecosystem innovation thinking was assessed, revealing the conditions under which it might deliver innovation-led improvements to the quality of life for those living with a dementia diagnosis. A detailed blueprint for conducting open ecosystem innovation is then proposed in full—a new and comprehensive response to the complex reality of living with a dementia diagnosis today.

Understanding the concept of network hubs and their role in brain disease is now rapidly becoming important for clinical neurology. Hub nodes in brain networks are areas highly connected to the rest of the brain, which handle a large part of all the network traffic. They also show high levels of neural activity and metabolism, which makes them vulnerable to many different types of pathology. The present review examines recent evidence for the prevalence and nature of hub involvement in a variety of neurological disorders, emphasizing common themes across different types of pathology. In focal epilepsy, pathological hubs may play a role in spreading of seizure activity, and removal of such hub nodes is associated with improved outcome. In stroke, damage to hubs is associated with impaired cognitive recovery. Breakdown of optimal brain network organization in multiple sclerosis is accompanied by cognitive dysfunction. In Alzheimer's disease, hyperactive hub nodes are directly associated with amyloid-beta and tau pathology. Early and reliable detection of hub pathology and disturbed connectivity in Alzheimer's disease with imaging and neurophysiological techniques opens up opportunities to detect patients with a network hyperexcitability profile, who could benefit from treatment with anti-epileptic drugs., Competing Interests: Competing Interests: Associate editor, Network Neuroscience, MIT Press Direct., (© 2023 Massachusetts Institute of Technology.)

We aimed to explain the spatial distribution of information and communication technology (ICT) firms in the city of Ostrava as an example of a medium-sized, shrinking, polycentric industrial city. The primary research question was to what extent micro-geographic location factors affect the current spatial clustering of ICT firms in polycentric cities characteristic by relatively weak urbanization economies and mostly routine character of ICT activities. We analyse and test the effects of the urban form at the level of urban blocks and individual buildings (considering their height, technical condition, age and dominant function) on the clustering of ICT firms of various sizes and ownership statuses. The inquiry was based on a detailed field mapping (using ArcGIS Collector) of ICT firms and physical/functional characteristics of the buildings and their immediate surroundings. ICT firms are significantly spatially concentrated in the historic city centre and inner city. Spatial patterns of ICT firms focused on less knowledge-intensive, routine and/or lower value-added functions do not differ fundamentally from innovative firms developing new products. Preference of denser, walkable, mixed-use neighbourhoods in urban cores/inner cities can be found in the group of firms focusing on routine functions: rather for larger than for smaller firms and domestic than foreign-owned firms.

Since the development of cellular and myelin stains, anatomy has formed the foundation for understanding circuitry in the human brain. However, recent functional and structural studies using magnetic resonance imaging have taken the lead in this endeavor. These innovative and noninvasive approaches have the advantage of studying connectivity patterns under different conditions directly in the human brain. They demonstrate dynamic and structural changes within and across networks linked to normal function and to a wide range of psychiatric illnesses. However, these indirect methods are unable to link networks to the hardwiring that underlies them. In contrast, anatomic invasive experimental studies can. Following a brief review of prefrontal cortical, anterior cingulate, and striatal connections and the different methodologies used, this article discusses how data from anatomic studies can help inform how hardwired connections are linked to the functional and structural networks identified in imaging studies. [ABSTRACT FROM AUTHOR]

Background: Alternaria blight, a recalcitrant disease caused by Alternaria brassicae and Alternaria brassicicola, has been recognized for significant losses of oilseed crops especially rapeseed-mustard throughout the world. Till date, no resistance source is available against the disease; hence, plant breeding methods cannot be used to develop disease-resistant varieties. Therefore, in the present study, efforts have been made to identify resistance and defense-related genes as well as key components of JA-SA-ET-mediated pathway involved in resistance against Alternaria brasscicola through computational analysis of microarray data and network biology approach. Microarray profiling data from wild type and mutant Arabidopsis plants challenged with Alternaria brassicicola along with control plant were obtained from the Gene Expression Omnibus (GEO) database. The data analysis, including DEGs extraction, functional enrichment, annotation, and network analysis, was used to identify genes associated with disease resistance and defense response. Results: A total of 2854 genes were differentially expressed in WT9C9; among them, 1327 genes were upregulated and 1527 genes were downregulated. A total of 1159 genes were differentially expressed in JAM9C9; among them, 809 were upregulated and 350 were downregulated. A total of 2516 genes were differentially expressed in SAM9C9; among them, 1355 were upregulated and 1161 were downregulated. A total of 1567 genes were differentially expressed in ETM9C9; among them, 917 were upregulated and 650 were downregulated. Besides, a total of 2965 genes were differentially expressed in contrast WT24C24; among them, 1510 genes were upregulated and 1455 genes were downregulated. A total of 4598 genes were differentially expressed in JAM24C24; among them, 2201 were upregulated and 2397 were downregulated. A total of 3803 genes were differentially expressed in SAM24C24; among them, 1819 were upregulated and 1984 were downregulated. A total of 4164 genes were differentially expressed in ETM24C24; among them, 1895 were upregulated and 2269 were downregulated. The upregulated genes of Arabidopsis thaliana were mapped and annotated with CDS sequences of Brassica rapa obtained from PlantGDB database. Additionally, PPI network of these genes were constructed to investigate the key components of hormone-mediated pathway involved in resistance during pathogenesis. Conclusion: The obtained information from present study can be used to engineer resistance to Alternaria blight caused by Alternaria brasscicola through molecular breeding or genetic manipulation-based approaches for improving Brassica oilseed productivity. [ABSTRACT FROM AUTHOR]

This article tracks the formation of the rich and socially complex Nordic Bronze Age (NBA), c. 2000–1500 bc , by applying a scalar methodology and using the entrepôt and early metalworking site of Pile in Scania as its point of departure. By regarding the Bronze Age as an ancient example of globalisation, Island Melanesia at the outskirts of contemporary globalisation is first examined to provide an analogue to the Nordic entrepreneurial and maritime culture into which metallurgy was first adopted. How did this northern margin become 'Bronze Age', and what impact did its inclusion have? Various scales, from local to Bronze-Age-global were found to intersect in the Pile hoard, and in similar sites near and far. By c. 2000 bc , metals and other commodities travelled along well-established local, regional, and super-regional networks, which even incorporated the British Isles and Únětician hubs at the Middle Elbe–Saale. Back in Scandinavia, metal and metal-related culture provided a comparative advantage when navigating local competition for influence and leadership. The transculturally global was strategically appropriated locally, using the reinvention of tradition as a principal strategy. The first metal boom caused friction and slow social change, rather than a social revolution. The real tipping point came in 1600–1500 bc , when the nearly full-blown NBA emerged, through engagement with a considerably expanded world. By this time, large amounts of metal were in circulation. Seen from the non-urban north, this unprecedented expansion of their world brought new opportunities but likely also deep social tensions. Thus, the effects of adopting metallurgy permeated society and connectivity at every level, even at the outskirts of the Bronze Age world. [ABSTRACT FROM AUTHOR]

The physiological basis of resilience to age-associated and AD-typical neurodegenerative pathology is still not well understood. So far, the established resilience factor intelligence has been shown to be associated with white matter network global efficiency, a key constituent of which are highly connected hubs. However, hub properties have also been shown to be impaired in AD. Individual predisposition or vulnerability of hub properties may thus modulate the impact of pathology on cognitive outcome and form part of the physiological basis of resilience. 85 cognitively normal elderly subjects and patients with MCI with DWI, MRI and AV45-PET scans were included from ADNI. We reconstructed the global WM networks in each subject and characterized hub-properties of GM regions using graph theory by calculating regional betweenness centrality. Subsequently, we investigated whether regional GM volume (GMV) and structural WM connectivity (WMC) of more hub-like regions was more associated with resilience, quantified as cognitive performance independent of amyloid burden, tau and WM lesions. Subjects with higher resilience showed higher increased regional GMV and WMC in more hub-like compared to less hub-like GM-regions. Additionally, this association was in some instances further increased at elevated amounts of brain pathology. Higher GMV and WMC of more hub-like regions may contribute more to resilience compared to less hub-like regions, reflecting their increased importance to brain network efficiency, and may thus form part of the neurophysiological basis of resilience. Future studies should investigate the factors leading to higher GMV and WMC of hubs in non-demented elderly with higher resilience. [ABSTRACT FROM AUTHOR]

Aim: The main goal of this investigation was to provide an overview on H.pylori effect on gastric tissue via bioinformatics analysis of microarray-identified miRNAs and its target genes. Background: MicroRNAs which control about 30 to 60% of gene expression in human body play a critical role in different cell growth stages. Expression modification of non-coding (NC) RNAs in H.pylori infections requires further investigations to provide better understanding of their roles in the body. Methods: GSE54397, the microRNA microarray dataset, was analyzed by GEO2R, the online GEO database for detection of differentially expressed microRNAs and lastly the potential target genes as well as their associated pathways. Results: A total of 244 miRNAs were detected as differentially expressed (p<0.05 and FC>2) in non-cancerous tissue of gastric with H.pylori infection in comparison with tissues without H.pylori infection. The findings indicated that hub microRNAs and target genes of up-regulated network are KIF9, DCTN3, and CA5BP1 along with hsa-miR-519d, hsa-miR-573, hsa-miR-646, hsa-miR-92a-1, hsamiR- 186, and hsa-miR-892a, respectively. For the down-regulated network, genes of RABGAP1, HSPB11 and microRNAs of hsamiR- 620, hsa-miR-19b-2, hsa-miR-555, and hsa-let-7f-2 were hubs. Most of the up-regulated microRNAs are involved in gastric cancer development while there is no evidence for the down-regulated ones. Yet, all of the hub down-regulated miRNAs are reported to have associations with different kinds of cancer. Conclusion: The introduced hub miRNAs and genes may serve as feasible markers in the mechanisms of H.pylori infection for different kinds of gastric diseases, in particular gastric cancer. However, their role requires further investigations. [ABSTRACT FROM AUTHOR]

Green infrastructure (Gl) is ecological supporting system for the sustainable development of urban construction, and plays an important role in promoting the urban ecological economic and social development. In this paper, Suzhou Dushu Lake Higher Education District is taken as an example, and landscape ecological resources in Dushu Lake Higher Education District are analyzed on the basis of field investigation. Combining with the relevant theory of green infrastructure, structure of GI in Suzhou Dushu Take Higher Education District is analyzed and evaluated from hubs, links and sites, and the corresponding optimization strategy is put forward. [ABSTRACT FROM AUTHOR]

El artículo tiene como propósito construir fundamentos teóricos para explicar las implicaciones que tienen las estructuras en red en la creación de conocimiento transdisciplinar-tecnocientifico. Se explica cómo las redes denominadas hubs y su dinámica inciden en el incremento de la eficiencia investigativa. Los resultados destacan como la conformación de hubs aumenta la capacidad para innovar en la producción de conocimiento. Se concluye que la disponibilidad de conocimiento transdisciplinar tecnocientífico está asociada al perfil de capacidades de los actores, quienes movilizan la transferencia de conocimiento de acuerdo a las dinámicas de los hubs de investigación. [ABSTRACT FROM AUTHOR]

The spontaneous dynamic characteristics of resting-state functional networks contain much internal brain physiological or pathological information. The metastate analysis of brain functional networks is an effective technique to quantify the essence of brain functional connectome dynamics. However, the widely used functional connectivity-based metastate analysis ignored the topological structure, which could be locally reflected by node centrality. In this study, 23 healthy young volunteers (21–26 years) were recruited and scanned twice with a 1-week interval. Based on the time sequences of node centrality, we promoted a node centrality-based clustering method to find metastates of functional connectome and conducted a test-retest experiment to assess the stability of those identified metastates using the described method. The hub regions of metastates were further compared with the structural networks' organization to depict its potential relationship with brain structure. Results of extracted metastates showed repeatable dynamic features between repeated scans and high overlapping rate of hub regions with brain intrinsic sub-networks. These identified hub patterns from metastates further highly overlapped with the structural hub regions. These findings indicated that the proposed node centrality-based metastates detection method could reveal reliable and meaningful metastates of spontaneous dynamics and indicate the underlying nature of brain dynamics as well as the potential relationship between these dynamics and the organization of the brain connectome. [ABSTRACT FROM AUTHOR]

The purpose of the article is using the data of Geoinform of Ukraine on the current state of the mineral resource base of the country, to regionalize its territory by combining explored mineral deposits and production- territorial complexes formed on their basis with a mineral raw material orientation. Research results. The article is written in the context of the constructive-geographical direction of studying the geography of mineral resources, which has been developing in the last decades in Ukraine. In particular, three approaches to regionalization of territorial combinations of mineral deposits are compared and analyzed: geological, economic-geographical and mining, which will contribute to their interconnection in characterizing the mineral-raw materials complexes of individual regions. The authors’ own interpretations of discussion definitions of mining terminology are proposed. Based on the results of previous studies and taking into account the current state of the mineral resource base, economic-geographical and mining zoning of the territory of Ukraine has been carried out for groups of explored mineral deposits. Within Ukraine, four mineral resource zones are allocated: Prydniprovsko- Pryazovska, Eastern Ukrainian, Donetsko-Slovianska and Prykarpatska, as well as several territorially separate structures: Zakarpatskyi, Lvivsko-Volynskyi, Podilskyi, Kerchenskyi, Krymskyi macrodistricts, Zhytomyrskyi and Pobuzkyi districts. A detailed description of the mineral and raw material specifications of these structures and their constituent parts, the features and prospects of their exploitation, the formation of territorial-production complexes of mineral and raw materials orientation are submitted. Scientific novelty. For the first time, various approaches to the regionalization of territorial groupings of mineral deposits and mining territories are compared, the basic definitions of mining regionalization are presented, and on this basis their own variant of zoning the territory of Ukraine on mineral resources is proposed. Practical value. The economic, geographical and mining zoning of the territory of Ukraine according to the forms of concentration of mineral deposits and mining areas will help create the scientific basis for optimizing the structure of the mining industry, ensuring the effective use of mineral raw materials, and developing the country's raw material complex. [ABSTRACT FROM AUTHOR]

The problem of justification of opinions has generated in the area of epistemology attempts to identify a essentialist mechanism, through which an opinion could reach the status of knowledge. Such mechanisms have been proposed by foundationalism and coherentism as the main philosophical theories of epistemic justification. If an epistemic subject organizes his beliefs in free scale networks, it would result that his beliefs are justified on the basis of countless different mechanisms of justification. This conclusion derives from the structure of a free scale network: a free scale network has nodes with different values of centrality and connectivity. If opinions with different values of centrality and connectivity are justificated beliefs, it follows that the epistemic paths followed in the justification process are different. Therefore, in a real network of opinions the idea of a characteristic node would not make sense. If the idea of a characteristic node does not make sense in a real network of beliefs, it means that the philosophical effort to identify a unique mechanism of epistemic justification does not have much legitimacy. Starting from the idea of a free scale network (A.L. Barabási), this study is a criticism of the attempt of traditional theories of knowledge to propose essentialists mechanisms for justification of knowledge. In addition, I will try to argue that understanding the form and the complexity of the opinions network articulated by an epistemic subject can convey to us something essential about how the process of knowledge in general proceeds. [ABSTRACT FROM AUTHOR]

The present paper employs China's interregional freight railway network from 2006 to 2011 and adopts the network analysis method to visualise the distribution of hub locations in China. Moreover, an econometric approach is used to determine important factors that affect hub location decisions. Our empirical results suggest that railway hub locations are unevenly distributed across regions in China. Most hubs are located around the capital city, Beijing, and there are no significant hubs in the southwest of China. Our results further show that the two important determinants of hub locations are railway infrastructure and population agglomeration. Policy implications are discussed in facilitating hub location decisions. [ABSTRACT FROM AUTHOR]

Alterations in large-scale brain intrinsic functional connectivity (FC), i.e., coherence between fluctuations of ongoing activity, have been implicated in major depressive disorder (MDD). Yet, little is known about the frequency-dependent alterations of FC in MDD. We calculated frequency specific degree centrality (DC) – a measure of overall FC of a brain region – within 10 distinct frequency sub-bands accessible from the full range of resting-state fMRI BOLD fluctuations (i.e., 0.01–0.25 Hz) in 24 healthy controls and 24 MDD patients. In healthy controls, results reveal a frequency-specific spatial distribution of highly connected brain regions – i.e., hubs – which play a fundamental role in information integration in the brain. MDD patients exhibited significant deviations from the healthy DC patterns, with decreased overall connectedness of widespread regions, in a frequency-specific manner. Decreased DC in MDD patients was observed predominantly in the occipital cortex at low frequencies (0.01–0.1 Hz), in the middle cingulate cortex, sensorimotor cortex, lateral parietal cortex, and the precuneus at middle frequencies (0.1–0.175 Hz), and in the anterior cingulate cortex at high frequencies (0.175–0.25 Hz). Additionally, decreased DC of distinct parts of the insula was observed across low, middle, and high frequency bands. Frequency-specific alterations in the DC of the temporal, insular, and lateral parietal cortices correlated with symptom severity. Importantly, our results indicate that frequency-resolved analysis within the full range of frequencies accessible from the BOLD signal – also including higher frequencies (>0.1 Hz) – reveals unique information about brain organization and its changes, which can otherwise be overlooked. [ABSTRACT FROM AUTHOR]

Gliomas are primary brain tumors, originating from the glial cells in the brain. In contrast to the more traditional view of glioma as a localized disease, it is becoming clear that global brain functioning is impacted, even with respect to functional communication between brain regions remote from the tumor itself. However, a thorough investigation of glioma-related functional connectomic profiles is lacking. Therefore, we constructed functional brain networks using functional MR scans of 71 glioma patients and 19 matched healthy controls using the automated anatomical labelling (AAL) atlas and interregional Pearson correlation coefficients. The frequency distributions across connectivity values were calculated to depict overall connectomic profiles and quantitative features of these distributions (full-width half maximum (FWHM), peak position, peak height) were calculated. Next, we investigated the spatial distribution of the connectomic profile. We defined hub locations based on the literature and determined connectivity (1) between hubs, (2) between hubs and non-hubs, and (3) between non-hubs. Results show that patients had broader and flatter connectivity distributions compared to controls. Spatially, glioma patients particularly showed increased connectivity between non-hubs and hubs. Furthermore, connectivity distributions and hub-non-hub connectivity differed within the patient group according to tumor grade, while relating to Karnofsky performance status and progression-free survival. In conclusion, newly diagnosed glioma patients have globally altered functional connectomic profiles, which mainly affect hub connectivity and relate to clinical phenotypes. These findings underscore the promise of using connectomics as a future biomarker in this patient population.

The article deals with an important area of development of the civil aviation airports network and air transport route networks in the Russian Federation and is based on priority development of the largest airport hubs considering the specific characteristics of the current status and further development of internal air transport market and subsidy programs of the Russian regional aircraft.

This paper summarizes the four papers in the special issues on ‘Gas and LNG pricing and trading hub in East Asia’. The papers examine lessons and experience from European hub development, other commodity, the Japanese history on developing of futures markets and inter-fuel substitution in East Asia. The papers finds that liquid futures market is the key to formulate benchmark prices while a well-developed spot market is the foundation; political will and strong leadership are required to overcome the power of incumbents and to restructure the gas market that impede the the development of competitive markets; and East Asia needs to develop its indigenous gas or LNG trading hubs even in low oil prices period and its developing market allows easier changes in new contracts than in existing ones. This hub development requires governments to go through tough domestic market reforms, including liberalization and cooperation with each other and with gas exporters.

The clinicopathological correlations between aspects of cognition, disease severity and imaging in Parkinson's Disease (PD) have been unclear. We studied cognitive profiles, demographics, and functional connectivity patterns derived from resting-state fMRI data (rsFC) in 31 PD subjects from the Parkinson's Progression Markers Initiative (PPMI) database. We also examined rsFC from 19 healthy subjects (HS) from the Pacific Parkinson's Research Centre. Graph theoretical measures were used to summarize the rsFC patterns. Canonical correlation analysis (CCA) was used to relate separate cognitive profiles in PD that were associated with disease severity and demographic measures as well as rsFC network measures. The CCA model relating cognition to demographics suggested female gender and education supported cognitive function in PD, age and depression scores were anti-correlated with overall cognition, and UPDRS had little influence on cognition. Alone, rsFC global network measures did not significantly differ between PD and controls, yet some nodal network measures, such as network segregation, were distinguishable between PD and HS in cortical “hub” regions. The CCA model relating cognition to rsFC global network values, which was not related to the other CCA model relating cognition to demographic information, suggested modularity, rich club coefficient, and transitivity was also broadly related to cognition in PD. Our results suggest that education, aging, comorbidity, and gender impact cognition more than overall disease severity in PD. Cortical “hub” regions are vulnerable in PD, and impairments of processing speed, attention, scanning abilities, and executive skills are related to enhanced functional segregation seen in PD.

Protein-protein interaction networks (PPINs) represent the physical interactions among proteins in a cell. These interactions are critical in all cellular processes, including signal transduction, metabolic regulation, and gene expression. In PPINs, centrality measures are widely used to identify the most critical nodes. The two most commonly used centrality measures in networks are degree and betweenness centralities. Degree centrality is the number of connections a node has in the network, and betweenness centrality is the measure of the extent to which a node lies on the shortest paths between pairs of other nodes in the network. In PPINs, proteins with high degree and betweenness centrality are referred to as hubs and bottlenecks respectively. Hubs and bottlenecks are topologically and functionally essential proteins that play crucial roles in maintaining the network's structure and function. This article comprehensively reviews essential literature on hubs and bottlenecks, including their properties and functions., (© 2024. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.)

Highlights • Carbon capture and storage from industrial sources has great potential to mitigate GHG emissions. • CO 2 hubs is a strategy to optimize a carbon transportation network. • Kernel density analysis can be used to identify areas of high CO 2 emission density. • The Kernel analysis can be used to help to locate hubs in a pipeline network. • The methodology was applied to the Iberian Peninsula industrial emission sources. Abstract Carbon capture and geological storage (CCS) is a key technology for the World deep decarbonization. However, several challenges remain, such as the optimization of the carbon transportation infrastructures. This study proposes a methodology that applies the Kernel Density function in a geographic information system software and uses as input, CO 2 emission sources data to identify emission clusters and emission high-density hotspots. The main goal of the proposed methodology is to perform a preliminary screening to identify areas of interest to install hubs when designing an optimized CO 2 pipeline network. The methodology includes an estimation of capturable CO 2 emissions and a density analysis that was based on Kernel Density function from the ArcGIS Desktop 10. The methodology was applied to the Iberian Peninsula CO 2 industrial emission sources such as refineries, coal and natural gas power plants and cement factories (case study) and the results showed that in Portugal, CO 2 industrial emissions reduction can reach up to 68% and, in Spain, up to 74% of CO 2 industrial emissions, could be avoided. These are called capturable CO 2 emissions which means that they are the portion of the total emissions that can be captured from industrial processes before they reach the atmosphere. Moreover, hubs were shown to be more viable when Portugal and Spain are considered together, therefore, carbon routes (pipeline network) in the future may consider an integrated route for the Iberian Peninsula. [ABSTRACT FROM AUTHOR]

Highlights: • Methodology to make the TSP solvable for real-world urban public transport networks. • Data-driven approach to prioritize lines and locations for synchronization to incorporate in the TSP. • Determine spatial boundaries of transfer locations using density-based clustering. • Identify hubs in urban PT networks to prioritize in the TSP based on passenger transfer flows. • Apply a community detection technique to identify line bundles to synchronize simultaneously. Abstract Minimizing passenger transfer times through public transport (PT) transfer synchronization is important during tactical planning and real-time control. However, there are computational challenges for solving this Timetable Synchronization Problem (TSP) for large, real-world urban PT networks. Hence, in this study we propose a data-driven, passenger-oriented methodology as a preparatory selection stage to reduce problem dimensionality by (1) determining the significant transfer hubs in the network, and (2) identifying subsets of lines within these hubs that need to be prioritized for transfer synchronization. In the first phase of our methodology we determine the spatial boundaries of transfer locations, using a clustering technique based on the passenger transfer flow matrix inferred from smartcard data. After that, a subset of hubs to be prioritized for synchronization is selected. In the second phase, we characterize the transfer patterns within the hubs based on a topological representation. Based on these topological graphs, the line bundles that need to be prioritized within the hubs are further identified using a modularity-based community detection technique. We apply our methodology to a real-world case study, i.e. the PT network of The Hague, the Netherlands. For this case study, our approach allows for prioritizing 70% of all transfers within identified transfer locations while only requiring 0.9% of these transfer locations, thus reducing the complexity of solving the TSP substantially at a relatively low cost. Our method supports public transport operators during timetable design and real-time control in determining where and which lines to prioritize when devising measures for improving transfer experience and synchronization. [ABSTRACT FROM AUTHOR]

Abstract Extant literature echoes that ports with a high transhipment share (T/S), and thus a high dependency on sea-sea transhipment or T/S flows, are vulnerable. It is less clear whether the vulnerability of T/S oriented container ports leads to more throughput volatility compared to gateway ports (i.e. inland-bound cargo) or ports with a mixed cargo base (i.e. T/S and gateway flows). In this perspective, throughput volatility, which denotes the variability or the dispersion of the cargo throughput in a port throughout a given period, is of great concern to port actors. This paper examines the relationship between throughput volatility in North European and Mediterranean container ports and the sea-sea transhipment incidence/dependency of these ports. First, we group a large sample of North European and Mediterranean ports in transhipment dependency classes ranging from transhipment ports over mixed ports to gateway ports. Second, we calculate the container throughput volatility between 1990 and 2016 based on two volatility measures. Third, we analyse the relationship between these volatility measures and transhipment incidence. Finally, we compare the results per port group (in terms of transhipment incidence level). The statistical test results show that throughput volatility is much higher for transhipment hubs then for other container ports. This paper also points to some regional market-related elements that explain the observed differences in throughput volatility between port groups. This study can help port planners, managing bodies of ports and terminal operators in their decision-making in the field of container port development and commercial strategies. Highlights • We analyse the relationship between container port throughput volatility and transhipment. • A sample of 61 ports is grouped in three transhipment dependency classes. • Two volatility measures are presented and applied. • The statistical findings show that throughput volatility is higher for transhipment hubs than for other container ports. [ABSTRACT FROM AUTHOR]

Copyright of Labor & Engenho is the property of Universidade Estadual de Campinas - Portal de Periodicos Eletronicos Cientificos and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This research set out to assess the state of ICT innovation in Ethiopia, then to profile and analyse the two Ethiopian ICT hubs (iceaddis and xHub). It also assessed the challenges to ICT innovation in Ethiopia and recommend solutions. The research used a range of qualitative research methods, which combined semi-structured interviews, participant observation, SWOT analysis and a review of secondary materials. The findings of the research have revealed that the state and nature of ICT innovation in Ethiopia can be described as ‘low scale or household’ type of innovation engaged in the modification or improvement of foreign products or processes rather than inventive innovations. Nevertheless, this is changing as more and more advanced industrial ICT companies are emerging such as iCog Labs, which work in the areas of cloud computing and Artificial Intelligence. Most of the innovations are in the areas of entertainment, information, financial and app software development. Ethiopian ICT hubs iceaddis and xHub are filling the innovation gap by offering a working space, training, investment and mentorship until the startups mature despite some internal weaknesses and possible threats. Infrastructure (connectivity) was the biggest challenge to innovation followed by government policies, investment, societal and educational shortcomings. [ABSTRACT FROM AUTHOR]

Little is currently known about the longitudinal developmental patterns of hubs in the whole‐brain white matter (WM) structural networks among toddlers with autism spectrum disorder (ASD). This study utilized diffusion tensor imaging (DTI) and deterministic tractography to map the WM structural networks in 37 ASD toddlers and 27 age‐, gender‐ and developmental quotient‐matched controls with developmental delay (DD) toddlers aged 2–3 years old at baseline (Time 1) and at 2‐year follow‐up (Time 2). Furthermore, graph‐theoretical methods were applied to investigate alterations in the network hubs in these patients at the two time points. The results showed that after 2 years, 17 hubs were identified in the ASD subjects compared to the controls, including 13 hubs that had not changed from baseline and 4 hubs that were newly identified. In addition, alterations in the properties of the hubs of the right middle frontal gyrus, right insula, left median cingulate gyri, and bilateral precuneus were significantly correlated with alterations in the behavioral data for ASD patients. These results indicated that at the stage of 2–5 years of age, ASD children showed distributions of network hubs that were relatively stable, with minor differences. Abnormal developmental patterns in the five areas mentioned above in ASD may contribute to abnormalities in the social and nonsocial characteristics of this disorder. Autism Res2018, 11: 1218–1228. © 2018 International Society for Autism Research, Wiley Periodicals, Inc. Lay Summary: This work studied the longitudinal developmental patterns of hubs in the whole‐brain white matter (WM) structural network among toddlers with autism spectrum disorder (ASD). The findings of this study could have implications for understanding how the abnormalities in hub organization in ASD account for behavioral deficits in patients and may provide potential biomarkers for disease diagnosis and the subsequent monitoring of progression and treatment effects for patients with ASD. [ABSTRACT FROM AUTHOR]

This paper offers a cultural assets model for supporting school effectiveness that moves beyond the deficit and difference approaches of the twentieth century. The model incorporates the capacity to identify contemporary cultural assets, and support cultural continuity, cultural diversity and cultural resilience during change. Undertaking concept-centric analysis, the reconceptualised understanding of contemporary cultural assets informs the construction of schools as cultural hubs, and reveals seven benefits that enhance asset-based approaches to school effectiveness. The model incorporates multigenerational flows of influence, community cultural activities, a communication conduit, and glocalised interactions. An empirical analysis of evidence advances the model’s sociocultural view of effective schools; provides opportunities to extend research beyond minority studies; and establishes the importance of cultural assets in secure base leadership for developing schools as dynamic organisations. [ABSTRACT FROM AUTHOR]

The clinicopathological correlations between aspects of cognition, disease severity and imaging in Parkinson's Disease (PD) have been unclear. We studied cognitive profiles, demographics, and functional connectivity patterns derived from resting-state fMRI data (rsFC) in 31 PD subjects from the Parkinson's Progression Markers Initiative (PPMI) database. We also examined rsFC from 19 healthy subjects (HS) from the Pacific Parkinson's Research Centre. Graph theoretical measures were used to summarize the rsFC patterns. Canonical correlation analysis (CCA) was used to relate separate cognitive profiles in PD that were associated with disease severity and demographic measures as well as rsFC network measures. The CCA model relating cognition to demographics suggested female gender and education supported cognitive function in PD, age and depression scores were anti-correlated with overall cognition, and UPDRS had little influence on cognition. Alone, rsFC global network measures did not significantly differ between PD and controls, yet some nodal network measures, such as network segregation, were distinguishable between PD and HS in cortical “hub” regions. The CCA model relating cognition to rsFC global network values, which was not related to the other CCA model relating cognition to demographic information, suggested modularity, rich club coefficient, and transitivity was also broadly related to cognition in PD. Our results suggest that education, aging, comorbidity, and gender impact cognition more than overall disease severity in PD. Cortical “hub” regions are vulnerable in PD, and impairments of processing speed, attention, scanning abilities, and executive skills are related to enhanced functional segregation seen in PD. [ABSTRACT FROM AUTHOR]

Abstract: One of the challenges of brain network analysis is to directly compare network organization between subjects, irrespective of the number or strength of connections. In this study, we used minimum spanning tree (MST; a unique, acyclic subnetwork with a fixed number of connections) analysis to characterize the human brain network to create an empirical reference network. Such a reference network could be used as a null model of connections that form the backbone structure of the human brain. We analyzed the MST in three diffusion‐weighted imaging datasets of healthy adults. The MST of the group mean connectivity matrix was used as the empirical null‐model. The MST of individual subjects matched this reference MST for a mean 58%–88% of connections, depending on the analysis pipeline. Hub nodes in the MST matched with previously reported locations of hub regions, including the so‐called rich club nodes (a subset of high‐degree, highly interconnected nodes). Although most brain network studies have focused primarily on cortical connections, cortical–subcortical connections were consistently present in the MST across subjects. Brain network efficiency was higher when these connections were included in the analysis, suggesting that these tracts may be utilized as the major neural communication routes. Finally, we confirmed that MST characteristics index the effects of brain aging. We conclude that the MST provides an elegant and straightforward approach to analyze structural brain networks, and to test network topological features of individual subjects in comparison to empirical null models. [ABSTRACT FROM AUTHOR]

From Senegal to Tanzania, and South Africa to Egypt, over the last decade “hub” organisations have proliferated across the African continent. Whilst this rapid growth has been accompanied by increasing academic interest, to date, works examining this phenomenon and this new dynamic organisational form remain limited. This study aims to contribute towards addressing this gap by examining hub organisations in Kenya. More specifically, and drawing upon in-depth qualitative case study research with three hubs, it examines: the nature of hubs in Kenya, what they are; unpacks what they do, and especially the role of hubs as intermediaries; and evaluates the potential of hubs, including as promoters of entrepreneurship, innovation and wider positive social change in Kenya. This research identifies the multiple hybridities of hub organisations in Kenya. It finds that they perform an intermediary role working institutional voids. Finally, both potential and limitations of hubs are identified. This research contributes to hitherto limited work on hubs, especially in Africa, and theorises hubs as hybrid intermediary organisations. It also showcases Africa as an important but still understudied context for management scholarship. [ABSTRACT FROM AUTHOR]

Applying network science to investigate the complex systems has become a hot topic. In neuroscience, understanding the architectures of complex brain networks was a vital issue. An enormous amount of evidence had supported the brain was cost/efficiency trade-off with small-worldness, hubness and modular organization through the functional MRI and structural MRI investigations. However, the T1-weighted/T2-weighted (T1w/T2w) ratio brain networks were mostly unexplored. Here, we utilized a KL divergence-based method to construct large-scale individual T1w/T2w ratio brain networks and investigated the underlying topological attributes of these networks. Our results supported that the T1w/T2w ratio brain networks were comprised of small-worldness, an exponentially truncated power–law degree distribution, frontal-parietal hubs and modular organization. Besides, there were significant positive correlations between the network metrics and fluid intelligence. Thus, the T1w/T2w ratio brain networks open a new avenue to understand the human brain and are a necessary supplement for future MRI studies. [ABSTRACT FROM AUTHOR]

Objective: The hubs of the brain network play a key role in integrating and transferring information between different functional modules. However, whether the changed pattern in functional network hubs contributes to the onset of leg discomfort symptoms in restless legs syndrome (RLS) patients remains unclear. Using resting-state functional magnetic resonance imaging (rs-fMRI) and graph theory methods, we investigated whether alterations of hubs can be detected in RLS.Methods: First, we constructed the whole-brain voxelwise functional connectivity and calculated a functional connectivity strength (FCS) map in each of 16 drug-naive idiopathic RLS patients and 26 gender- and age-matched healthy control (HC) subjects. Next, a two-sample t test was applied to compare the FCS maps between HC and RLS patients, and to identify significant changes in FCS in RLS patients. To further elucidate the corresponding changes in the functional connectivity patterns of the aberrant hubs in RLS patients, whole-brain resting-state functional connectivity analyses for the hub areas were performed.Results: The hub analysis revealed decreased FCS in the cuneus, fusiform gyrus, paracentral lobe, and precuneus, and increased FCS in the superior frontal gyrus and thalamus in idiopathic drug-naive RLS patients. Subsequent functional connectivity analyses revealed decreased functional connectivity in sensorimotor and visual processing networks and increased functional connectivity in the affective cognitive network and cerebellar-thalamic circuit. Furthermore, the mean FCS value in the superior frontal gyrus was significantly correlated with Hamilton Anxiety Rating Scale scores in RLS patients, and the mean FCS value in the fusiform gyrus was significantly correlated with Hamilton Depression Rating Scale scores.Conclusions: These findings may provide novel insight into the pathophysiology of RLS. [ABSTRACT FROM AUTHOR]

Copyright of Revista Brasileira de Estudos Urbanos e Regionais is the property of Associacao Nacional de Pos-Graduacao e Pesquisa em Planejamento Urbano e Regional and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)