bluuebunny/crossref_metadata_2025 huggingface dataset:
Prognostic implications of impaired longitudinal left ventricular systolic function assessed by tissue Doppler imaging prior to transcatheter aortic valve implantation for severe aortic stenosis
Authors: Gallone Guglielmo , Bruno Francesco , Trenkwalder Teresa , D’Ascenzo Fabrizio , Islas Fabian , Leone Pier Pasquale , Nicol Philipp , Pellegrini Costanza , Incaminato Enrico , Jimenez-Quevedo Pilar , Alvarez-Covarrubias Hector Alfonso , Bragato Renato , Andreis Alessandro , Salizzoni Stefano , Rinaldi Mauro , Kastrati Adnan , Conrotto Federico , Joner Michael , Stefanini Giulio , Nombela-Franco Luis , Xhepa Erion , Escaned Javier , De Ferrari Gaetano M.
Published: January 2022

Change in longitudinal left ventricular (LV) systolic function serves as an early marker of the deleterious effect of aortic stenosis (AS) and other cardiac comorbidities on cardiac function. We explored the prognostic value of tissue Doppler imaging (TDI)-derived longitudinal LV systolic function, defined by the peak systolic average of lateral and septal mitral annular velocities (average S’) among symptomatic patients with severe AS undergoing transcatheter aortic valve implantation (TAVI). 297 consecutive patients with severe AS undergoing TAVI at three european centers with available average S’ at preprocedural echocardiography were retrospectively included. The primary endpoint was the Kaplan Meier estimate of all-cause mortality. After a median 18 months (IQR 12–18) follow-up, 36 (12.1%) patients had died. Average S’ was associated with all-cause mortality (per 1 cm/sec decrease: HR 1.29, 95%CI 1.03–1.60, p = 0.025), the cut-off of 6.5 cm/sec being the most accurate. Patients with average S’ < 6.5 cm/sec (55.2%) presented characteristics of more advanced LV remodeling and functional impairment along with higher burden of cardiac comorbidities, and experienced higher all-cause mortality (17.6% vs. 7.5%, p = 0.007), also when adjusted for in-study outcome predictors (adj-HR: 2.69, 95%CI 1.22–5.93, p = 0.014). Results were consistent among patients with preserved ejection fraction, normal-flow AS, high-gradient AS and in those without LV hypertrophy. Longitudinal LV systolic function assessed by average S’ is independently associated with long-term all-cause mortality among TAVI patients. An average S’ below 6.5 cm/sec best defines clinically meaningful reduced longitudinal systolic function and may aid clinical risk stratification in these patients.
A recurrent neural network architecture to model physical activity energy expenditure in older people
Authors: Paraschiakos Stylianos , de Sá Cláudio Rebelo , Okai Jeremiah , Slagboom P. Eline , Beekman Marian , Knobbe Arno
Published: January 2022

Through the quantification of physical activity energy expenditure (PAEE), health care monitoring has the potential to stimulate vital and healthy ageing, inducing behavioural changes in older people and linking these to personal health gains. To be able to measure PAEE in a health care perspective, methods from wearable accelerometers have been developed, however, mainly targeted towards younger people. Since elderly subjects differ in energy requirements and range of physical activities, the current models may not be suitable for estimating PAEE among the elderly. Furthermore, currently available methods seem to be either simple but non-generalizable or require elaborate (manual) feature construction steps. Because past activities influence present PAEE, we propose a modeling approach known for its ability to model sequential data, the recurrent neural network (RNN). To train the RNN for an elderly population, we used the growing old together validation (GOTOV) dataset with 34 healthy participants of 60 years and older (mean 65 years old), performing 16 different activities. We used accelerometers placed on wrist and ankle, and measurements of energy counts by means of indirect calorimetry. After optimization, we propose an architecture consisting of an RNN with 3 GRU layers and a feedforward network combining both accelerometer and participant-level data. Our efforts included switching mean to standard deviation for down-sampling the input data and combining temporal and static data (person-specific details such as age, weight, BMI). The resulting architecture produces accurate PAEE estimations while decreasing training input and time by a factor of 10. Subsequently, compared to the state-of-the-art, it is capable to integrate longer activity data which lead to more accurate estimations of low intensity activities EE. It can thus be employed to investigate associations of PAEE with vitality parameters of older people related to metabolic and cognitive health and mental well-being.
A new approach to assess the degree of contamination and determine sources and risks related to PTEs in an urban environment: the case study of Santiago (Chile)
Authors: Aruta Antonio , Albanese Stefano , Daniele Linda , Cannatelli Claudia , Buscher Jamie T. , De Vivo Benedetto , Petrik Attila , Cicchella Domenico , Lima Annamaria
Published: January 2022

In 2017, a geochemical survey was carried out across the Commune of Santiago, a local administrative unit located at the center of the namesake capital city of Chile, and the concentration of a number of major and trace elements (53 in total) was determined on 121 topsoil samples. Multifractal IDW (MIDW) interpolation method was applied to raw data to generate geochemical baseline maps of 15 potential toxic elements (PTEs); the concentration–area (C-A) plot was applied to MIDW grids to highlight the fractal distribution of geochemical data. Data of PTEs were elaborated to statistically determine local geochemical baselines and to assess the spatial variation of the degree of soil contamination by means of a new method taking into account both the severity of contamination and its complexity. Afterwards, to discriminate the sources of PTEs in soils, a robust Principal Component Analysis (PCA) was applied to data expressed in isometric log-ratio (ilr) coordinates. Based on PCA results, a Sequential Binary Partition (SBP) was also defined and balances were determined to generate contrasts among those elements considered as proxies of specific contamination sources (Urban traffic, productive settlements, etc.). A risk assessment was finally completed to potentially relate contamination sources to their potential effect on public health in the long term. A probabilistic approach, based on Monte Carlo method, was deemed more appropriate to include uncertainty due to spatial variation of geochemical data across the study area. Results showed how the integrated use of multivariate statistics and compositional data analysis gave the authors the chance to both discriminate between main contamination processes characterizing the soil of Santiago and to observe the existence of secondary phenomena that are normally difficult to constrain. Furthermore, it was demonstrated how a probabilistic approach in risk assessment could offer a more reliable view of the complexity of the process considering uncertainty as an integral part of the results.
Analysis of Security Vulnerability Levels of In-Vehicle Network Topologies Applying Graph Representations
Authors: Petho Zsombor , Khan Intiyaz , Torok Árpád
Published: January 2022

This article investigates cybersecurity issues related to in-vehicle communication networks. In-vehicle communication network security is evaluated based on the protection characteristics of the network components and the topology of the network. The automotive communication network topologies are represented as undirected weighted graphs, and their vulnerability is estimated based on the specific characteristics of the generated graph. Thirteen different vehicle models have been investigated to compare the vulnerability levels of the in-vehicle network using the Dijkstra's shortest route algorithm. An important advantage of the proposed method is that it is in accordance with the most relevant security evaluation models. On the other hand, the newly introduced approach considers the Secure-by-Design concept principles.
Amalgamated Free Lévy Processes as Limits of Sample Covariance Matrices
Authors: Zitelli G. L.
Published: January 2022

We prove the existence of joint limiting spectral distributions for families of random sample covariance matrices modeled on fluctuations of discretized Lévy processes. These models were first considered in applications of random matrix theory to financial data, where datasets exhibit both strong multicollinearity and non-normality. When the underlying Lévy process is non-Gaussian, we show that the limiting spectral distributions are distinct from Marčenko–Pastur. In the context of operator-valued free probability, it is shown that the algebras generated by these families are asymptotically free with amalgamation over the diagonal subalgebra. This framework is used to construct operator-valued $$^*$$

∗

-probability spaces, where the limits of sample covariance matrices play the role of non-commutative Lévy processes whose increments are free with amalgamation.
Exchange Rate Pass-Through, Monetary Policy, and Real Exchange Rates: Iceland and the 2008 Crisis
Authors: Edwards Sebastian , Cabezas Luis
Published: January 2022

We use detailed data for Iceland to examine two often-neglected aspects of the exchange rate pass-through problem. First, we investigate whether the pass-through coefficient varies with the degree of international tradability of goods. Second, we analyze if the pass-through coefficient depends on the monetary policy framework. We consider 12 disaggregated price indexes in Iceland for 2003–2019, a period that includes Iceland’s banking and currency crisis of 2008. We find that the pass-through declined around the time Iceland reformed its flexible inflation targeting, and that the coefficients are significantly higher for tradable than for nontradables.
Digital Image-Based Stress–Permeability Relationships of Rough Fractures Using Numerical Contact Mechanics and Stokes Equation
Authors: Kubeyev Amanzhol , Forbes Inskip Nathaniel , Phillips Tomos , Zhang Yihuai , Maier Christine , Bisdom Kevin , Busch Andreas , Doster Florian
Published: January 2022

Flow in fractures is sensitive to their geometrical surface characteristics. The surface can undergo deformation if there is a change in stress. Natural fractures have complex geometries and rough surfaces which complicates the modelling of deformation and fluid flow. In this paper, we present a computational model that takes a digital image of a rough fracture surface and provides a stress–permeability relationship. The model is based on a first-principle contact mechanics approach at the continuum scale. Using this first principle approach, we investigate numerically the effect of fracture surface roughness and shifting of surfaces on the permeability evolution under applied stress and compare the results with laboratory experiments. A mudrock core fracture surface was digitalized using an optical microscope, and 2D cross sections through fracture surface profiles were taken for the modelling. Mechanical deformation is simulated with the contact mechanics based Virtual Element Method solver that we developed within the MATLAB Reservoir Simulation Toolbox platform. The permeability perpendicular to the fracture cross section is determined by solving the Stokes equation using the Finite Volume Method. A source of uncertainty in reproducing laboratory results is that the exact anchoring of the two opposite surfaces is difficult to determine while the stress–permeability relationship is sensitive to the exact positioning. We, therefore, investigate the sensitivity to a mismatch in two scenarios: First, we assess the stress–permeability of a fracture created using two opposing matched surfaces from the rock sample, consequently applying relative shear. Second, we assess the stress–permeability of fractures created by randomly selecting opposing surfaces from that sample. We find that a larger shift leads to a smaller drop in permeability due to applied stress, which is in line with a previous laboratory study. We also find that permeability tends to be higher in fractures with higher roughness within the investigated stress range. Finally, we provide empirical stress–permeability relationships for various relative shears and roughnesses for use in hydro-mechanical studies of fractured geological formations.
The Role of Conditional Likelihoods in Latent Variable Modeling
Authors: Skrondal Anders , Rabe-Hesketh Sophia
Published: January 2022

In psychometrics, the canonical use of conditional likelihoods is for the Rasch model in measurement. Whilst not disputing the utility of conditional likelihoods in measurement, we examine a broader class of problems in psychometrics that can be addressed via conditional likelihoods. Specifically, we consider cluster-level endogeneity where the standard assumption that observed explanatory variables are independent from latent variables is violated. Here, “cluster” refers to the entity characterized by latent variables or random effects, such as individuals in measurement models or schools in multilevel models and “unit” refers to the elementary entity such as an item in measurement. Cluster-level endogeneity problems can arise in a number of settings, including unobserved confounding of causal effects, measurement error, retrospective sampling, informative cluster sizes, missing data, and heteroskedasticity. Severely inconsistent estimation can result if these challenges are ignored.
Quantifying Phase Behaviour in Model Food Composites Using 3D Confocal Laser Scanning Microscopy
Authors: Mhaske Pranita , Kasapis Stefan , Farahnaky Asgar , Dokouhaki Mina
Published: January 2022

There is an increasing demand for the design of complex bio-composites with customized structural characteristics for use in processed food products. Phase behaviour of these mixtures determines textural properties, encouraging the pursue of a rapid technique that can accurately quantify it. The present work tests the efficacy of confocal laser scanning microscopy (CLSM) coupled with image analysis software (Imaris), for the quantification of phase behaviour in complex tertiary systems. In doing so, it develops phase separated gels of agarose and gelatin supporting inclusions of canola oil. The polysaccharide was replaced with whey protein isolate (WPI) and the topology of the tertiary dispersion with gelatin and canola oil was also examined. Reproducible phase volume estimates were obtained, including those of the lipid phase, which were a close match to the actual concentrations added to the hydrocolloid gel. The approach could offer an alternative to the rheological estimation, via theoretical blending law analysis, of phase volumes in bio-composites.

Graphical Abstract
Brain 5-HT2A receptor binding and its neural network related to behavioral inhibition system
Authors: Kojima Kazuho , Hirano Shigeki , Kimura Yasuyuki , Seki Chie , Ikoma Yoko , Takahata Keisuke , Ito Takehito , Yokokawa Keita , Hashimoto Hiroki , Kawamura Kazunori , Zhang Ming-Rong , Ito Hiroshi , Higuchi Makoto , Kuwabara Satoshi , Suhara Tetsuya , Yamada Makiko
Published: January 2022

The tendency to avoid punishment, called behavioral inhibition system, is an essential aspect of motivational behavior. Behavioral inhibition system is related to negative affect, such as anxiety, depression and pain, but its neural basis has not yet been clarified. To clarify the association between individual variations in behavioral inhibition system and brain 5-HT2A receptor availability and specify which brain networks were involved in healthy male subjects, using [18F]altanserin positron emission tomography and resting-state functional magnetic resonance imaging. Behavioral inhibition system score negatively correlated with 5-HT2A receptor availability in anterior cingulate cortex. A statistical model indicated that the behavioral inhibition system score was associated with 5-HT2A receptor availability, which was mediated by the functional connectivity between anterior cingulate cortex and left middle frontal gyrus, both of which involved in the cognitive control of negative information processing. Individuals with high behavioral inhibition system displays low 5-HT2A receptor availability in anterior cingulate cortex and this cognitive control network links with prefrontal-cingulate integrity. These findings have implications for underlying the serotonergic basis of physiologies in aversion.
Comparison of Single and Repeated Dosing of Anti-Inflammatory Human Umbilical Cord Mesenchymal Stromal Cells in a Mouse Model of Polymicrobial Sepsis
Authors: Fazekas Barbara , Alagesan Senthilkumar , Watson Luke , Ng Olivia , Conroy Callum M. , Català Cristina , Andres Maria Velascode , Negi Neema , Gerlach Jared Q. , Hynes Sean O. , Lozano Francisco , Elliman Stephen J. , Griffin Matthew D.
Published: January 2022

Mesenchymal stromal cells (MSCs) ameliorate pre-clinical sepsis and sepsis-associated acute kidney injury (SA-AKI) but clinical trials of single-dose MSCs have not indicated robust efficacy. This study investigated immunomodulatory effects of a novel MSC product (CD362-selected human umbilical cord-derived MSCs [hUC-MSCs]) in mouse endotoxemia and polymicrobial sepsis models. Initially, mice received intra-peritoneal (i.p.) lipopolysaccharide (LPS) followed by single i.p. doses of hUC-MSCs or vehicle. Next, mice underwent cecal ligation and puncture (CLP) followed by intravenous (i.v.) doses of hUC-MSCs at 4 h or 4 and 28 h. Analyses included serum/plasma assays of biochemical indices, inflammatory mediators and the AKI biomarker NGAL; multi-color flow cytometry of peritoneal macrophages (LPS) and intra-renal immune cell subpopulations (CLP) and histology/immunohistochemistry of kidney (CLP). At 72 h post-LPS injections, hUC-MSCs reduced serum inflammatory mediators and peritoneal macrophage M1/M2 ratio. Repeated, but not single, hUC-MSC doses administered at 48 h post-CLP resulted in lower serum concentrations of inflammatory mediators, lower plasma NGAL and reversal of sepsis-associated depletion of intra-renal T cell and myeloid cell subpopulations. Hierarchical clustering analysis of all 48-h serum/plasma analytes demonstrated partial co-clustering of repeated-dose hUC-MSC CLP animals with a Sham group but did not reveal a distinct signature of response to therapy. It was concluded that repeated doses of CD362-selected hUC-MSCs are required to modulate systemic and local immune/inflammatory events in polymicrobial sepsis and SA-AKI. Inter-individual variability and lack of effect of single dose MSC administration in the CLP model are consistent with observations to date from early-phase clinical trials.

Graphical Abstract
p38 Inhibition Decreases Tau Toxicity in Microglia and Improves Their Phagocytic Function
Authors: Perea Juan R. , Bolós Marta , Cuadros Raquel , García Esther , García-Escudero Vega , Hernández Félix , McManus Róisín M. , Heneka Michael T. , Avila Jesús
Published: January 2022

Alzheimer’s disease (AD) and other tauopathies are histopathologically characterized by tau aggregation, along with a chronic inflammatory response driven by microglia. Over the past few years, the role of microglia in AD has been studied mainly in relation to amyloid-β (Aβ) pathology. Consequently, there is a substantial knowledge gap concerning the molecular mechanisms involved in tau-mediated toxicity and neuroinflammation, thus hindering the development of therapeutic strategies. We previously demonstrated that extracellular soluble tau triggers p38 MAPK activation in microglia. Given the activation of this signaling pathway in AD and its involvement in neuroinflammation processes, here we evaluated the effect of p38 inhibition on primary microglia cultures subjected to tau treatment. Our data showed that the toxic effect driven by tau in microglia was diminished through p38 inhibition. Furthermore, p38 blockade enhanced microglia-mediated tau phagocytosis, as reflected by an increase in the number of lysosomes. In conclusion, these results contribute to our understanding of the functions of p38 in the central nervous system (CNS) beyond tau phosphorylation in neurons and provide further insights into the potential of p38 inhibition as a therapeutic strategy to halt neuroinflammation in tauopathies.
Coexistence patterns and diversity in a trait-based metacommunity on an environmental gradient
Authors: Mohammed Mozzamil , Blasius Bernd , Ryabov Alexey
Published: January 2022

The dynamics of trait-based metacommunities have attracted much attention, but not much is known about how dispersal and spatial environmental variability mutually interact with each other to drive coexistence patterns and diversity. Here, we present a spatially explicit model of competition for two essential resources in a metacommunity on a one-dimensional environmental gradient. We find that both the strength of dispersal and the range of spatial environmental variability affect coexistence patterns, spatial structure, trait distribution, and local and regional diversity. Without dispersal, species are sorted according to their optimal growth conditions on the gradient. With the onset of dispersal, source-sink effects are initiated, which increases the effects of environmental filtering and interspecific competition and generates trait lumping, so that only a few species from an environment-defined trait range can survive. Interestingly, for very large dispersal rates, species distributions become spatially homogeneous, but nevertheless two species at the extreme ends of the trade-off curve can coexist for large environmental variability. Local species richness follows a classic hump-shaped dependence on dispersal rate, while local and regional diversity exhibit a pronounced peak for intermediate values of the environmental variability. Our findings provide important insights into the factors that shape the structure of trait-based metacommunities.
Scheduling in parallel machines with two objectives: analysis of factors that influence the Pareto frontier
Authors: Mar-Ortiz Julio , Ruiz Torres Alex J. , Adenso-Díaz Belarmino
Published: January 2022

This paper explores the characteristics of solutions when scheduling jobs in a shop with parallel machines. Three classical objective functions were considered: makespan, total completion time, and total tardiness. These three criteria were combined in pairs, resulting in three bi-objective formulations. These formulations were solved using the ε-constraint method to obtain a Pareto frontier for each pair. The objective of the research is to evaluate the Pareto set of efficient schedules to characterize the solution sets. The characterization of the solutions sets is based on two performance metrics: the span of the objective functions' values for the points in the frontier and their closeness to the ideal point. Results that consider four experimental factors indicate that when the makespan is one of the objective functions, the range of the processing times among jobs has a significant influence on the characteristics of the Pareto frontier. Simultaneously, the slack of due dates is the most relevant factor when total tardiness is considered.
Effect of reservoir pressure and total organic content on adsorbed gas production in shale reservoirs: a numerical modelling study
Authors: Mansi Moataz , Almobarak Mohamed , Lagat Christopher , Xie Quan
Published: January 2022

Adsorbed gas plays a key role in organic-rich shale gas production due to its potential to contribute up to 60% of the total gas production. The amount of gas potentially adsorbed on organic-rich shale is controlled by thermal maturity, total organic content (TOC), and reservoir pressure. Whilst those factors have been extensively studied in literature, the factors governing desorption behaviour have not been elucidated, presenting a substantial impediment in managing and predicting the performance of shale gas reservoirs. Therefore, in this paper, a simulation study was carried out to examine the effect of reservoir depth and TOC on the contribution of adsorbed gas to shale gas production. The multi-porosity and multi-permeability model, hydraulic fractures, and local grid refinements were incorporated in the numerical modelling to simulate gas storage and transient behaviour within matrix and fracture regions. The model was then calibrated using core data analysis from literature for Barnett shales. Sensitivity analysis was performed on a range of reservoir depth and TOC to quantify and investigate the contribution of adsorbed gas to total gas production. The simulation results show the contribution of adsorbed gas to shale gas production decreases with increasing reservoir depth regardless of TOC. In contrast, the contribution increases with increasing TOC. However, the impact of TOC on the contribution of adsorbed gas production becomes minor with increasing reservoir depth (pressure). Moreover, the results suggest that adsorbed gas may contribute up to 26% of the total gas production in shallow (below 4,000 feet) shale plays. These study findings highlight the importance of Langmuir isothermal behaviour in shallow shale plays and enhance understanding of desorption behaviour in shale reservoirs; they offer significant contributions to reaching the target of net-zero CO2 emissions for energy transitions by exhibiting insights in the application of enhanced shale gas recovery and CO2 sequestration — in particular, the simulation results suggest that CO2 injection into shallow shale reservoirs rich in TOC, would give a much better performance to unlock the adsorbed gas and sequestrate CO2 compared to deep shales.
A re-assessment of metal pollution in the Dexing mining area in Jiangxi province, China: current status, hydro-geochemical controls, and effectiveness of remediation practices
Authors: Xie S. , Yu C. , Peng B. , Xiao H. , Zhang W. , Zhou Z. , Åström M. E.
Published: January 2022

This study re-assess the environmental impacts of the Dexing copper mine (the largest open-pit copper mine in Asia) on the Lean river and its two tributaries (the Dawu river and Jishui river) in the Jiangxi province, China, with particular focus on metal pollution as well as the effectiveness and side-effects of remediation activities. Results show that the Dawu river and its mixing zone with the Lean river were still heavily influenced by acid mine drainage (AMD) and loaded with elevated levels of metals, in particular Mn, Ni, and Al whose concentrations were frequently above the health-based guideline values. Manganese and Ni in the AMD-impacted waters were predicted to occur as free ions or sulfate and carbonate complexes, and thus highly-toxic to living organisms. Although Al in the AMD-impacted waters was predicted to exist largely as colloidal hydroxides with low bioavailability, abundant formation of such nano-sized particles could impair the respiratory and circulatory systems of aquatic macro-invertebrates. The integration and comparison of the results from the current and previous studies show that the concentrations of several metals (Cu, Zn, and Cd) in the Dawu river decreased significantly after 2011–2012, during which several remediation practices were implemented (e.g., AMD neutralization, excavation of contaminated sediments in impounded rivers, and rehabilitation of mine tailings and open-pit slopes). This provides evidence that these remediation practices have effectively limited the dispersion of metals from the mining area. However, AMD neutralization greatly enhanced the release of sulfate, making the mining area an even more important sulfate source.
Laser beam welding setup for the coaxial combination of two laser beams to vary the intensity distribution
Authors: Möbus M. , Woizeschke P.
Published: January 2022

Deep-penetration laser beam welding is highly dynamic and affected by many parameters. Several investigations using differently sized laser spots, spot-in-spot laser systems, and multi-focus optics show that the intensity distribution is one of the most influential parameters; however, the targeted lateral and axial intensity design remains a major challenge. Therefore, a laser processing optic has been developed that coaxially combines two separate laser sources/beams with different beam characteristics and a measuring beam for optical coherence tomography (OCT). In comparison to current commercial spot-in-spot laser systems, this setup not only makes it possible to independently vary the powers of the two laser beams but also their focal planes, thus facilitating the investigation into the influence of specific energy densities along the beam axis. First investigations show that the weld penetration depth increases with increasing intensities in deeper focal positions until the reduced intensity at the sample surface, due to the deep focal position, is no longer sufficient to form a stable keyhole, causing the penetration depth to drop sharply.
Improving vaccination rates in older adults and at-risk groups: focus on pertussis
Authors: Choi Jung-Hyun , Correia de Sousa Jaime , Fletcher Monica , Gabutti Giovanni , Harrington Lauriane , Holden Michael , Kim Hyungwoo , Michel Jean-Pierre , Mukherjee Piyali , Nolan Terry , Welte Tobias , Maggi Stefania
Published: January 2022

Despite the implementation of effective paediatric vaccination programmes, pertussis remains a global health problem. Disease epidemiology has changed over time, shifting towards the adolescent and adult populations. In adults, the true burden of pertussis is greatly underestimated and pertussis vaccine coverage rates are suboptimal, including individuals with chronic conditions. Here, we report the outcomes of a virtual international scientific workshop to assess the evidence on the burden of pertussis in older adults and identify potential solutions to improve uptake of pertussis vaccines. In adults, pertussis is underdiagnosed in part due to atypical or milder clinical presentation and the lack of testing and case confirmation. However, contemporary epidemiological data denoted an increase in the burden of pertussis among adolescents and adults. This might be related to a variety of reasons including the waning of immunity over time, the lack of booster vaccination, and the improved diagnostic methods that led to increased recognition of the disease in adults. Pertussis sequelae can be severe in older adults, particularly those with existing chronic medical conditions, and the vulnerability of these groups is further enhanced by low pertussis vaccine coverage. Possible measures to increase vaccine uptake include strengthening and harmonisation of immunisation guidelines, healthcare professionals taking a more active role in recommending pertussis vaccination, involvement of vaccination centres and pharmacies in the vaccination process, and improving knowledge of pertussis burden and vaccine efficacy among the general population.
Racial Bias Correlates with States Having Fewer Health Professional Shortage Areas and Fewer Federally Qualified Community Health Center Sites
Authors: Snowden Lonnie R. , Michaels Eli
Published: January 2022

Federally Qualified Community Health Centers (FQHCs), serving Health Professional Shortage Areas (HPSAs), are fixtures of the healthcare safety net and are central to healthcare delivery for African Americans and other marginalized Americans. Anti-African American bias, tied to anti- “welfare” sentiment and to a belief in African Americans’ supposed safety net dependency, can suppress states’ willingness to identify HPSAs and to apply for and operate FQHCs. Drawing on data from n = 1,084,553 non-Hispanic White Project Implicit respondents from 2013–2018, we investigated associations between state-level implicit and explicit racial bias and availability of FQHCs and with HPSA designations. After controlling for states’ sociopolitical conservatism, wealth, health status, and acceptance of the Affordable Care Act’s Medicaid expansion, greater racial bias was correlated with fewer FQHC delivery sites and fewer HPSA designations. White’s bias against African Americans is associated with fewer FQHC opportunities for care and fewer identifications of treatment need for African Americans and other low-income people lacking healthcare options, reflecting bias-influenced neglect.
From a Financial to an Entity Model of ESG
Authors: MacNeil Iain , Esser Irene-marié
Published: January 2022

ESG investing evolved over time from the earlier concept of CSR. The process of evolution moved the focus from the external impact of corporate activities to the risk and return implications for financial investors of failing to address ESG issues in their portfolio selection and corporate engagement. The bridge between the two approaches was the framing of sustainability in the early part of the millennium as an overarching concept that could be mapped onto the supply of capital and the techniques employed by institutional investors. The financial model of ESG investing is now the standard approach around the world and is reflected in ESG ratings, codes, guidance and regulatory rules. It focuses on the role of capital and investors in driving change in sustainability practices and pays much less attention to the role of board decision-making and directors’ fiduciary duties. In this research, we trace the origins and trajectory of this change in emphasis from CSR to ESG and attempt to explain why it occurred. We identify shortcomings in the financial model of ESG investing and propose an alternative ‘entity’ model, which we argue would more effectively promote sustainability in the corporate sector around the world.
Urban morphogenesis analysis based on geohistorical road data
Authors: El Gouj Hanae , Rincón-Acosta Christian , Lagesse Claire
Published: January 2022

Road networks result from a subtle balance between geographical coverage and rapid access to strategic points. An understanding of their structure is fundamental when it comes to evaluating and improving territorial accessibility. This study is designed to provide insight into the progressive structuring of territorial patterns by analyzing the evolution of road networks. Studying road network morphogenesis requires geohistorical data, provided here by historical maps from which earlier road networks can be digitized. A hypergraph is constructed from these networks by combining road segments into “ways” on the basis of a method for defining the continuity of road segments. Next, indicators are computed for these ways based on topological and geometrical features. The road patterns of three cities in the Burgundy Franche-Comte region of France (Dijon, Besançon, and Pontarlier) at three historical periods (the 18th, 19th, and twentieth centuries) are then analyzed. In this manner, their topological features and centrality characteristics can be compared from snapshots at different times and places. The innovative method proposed in this paper helps us to read features of the road patterns accurately and to make simple interpretations. It can be applied to any territory for which data is available. The results highlight the underlying structure of the three cities, reveal information about the history and the functioning of the networks, and give preliminary insights into the morphogenesis of those cities. Prospectively this work aims to identify the mechanisms that drive change in road networks. Detecting stability or variation in indicators over time can help in identifying similar behavior, despite geographic and cultural distances, as well as evolution mechanisms linked to specificities of each city. The study of road network morphogenesis can make a major contribution to understanding how road network structure affects accessibility and mobility.
Überzeugungen von Primarlehrpersonen zu Orthografie und Orthografieerwerb
Authors: Wiprächtiger-Geppert Maja , Riegler Susanne , Kusche Dorothea , Schurig Michael
Published: January 2022

Im Beitrag wird über eine Befragung von Teilnehmer/innen einer ländervergleichenden (CH/D) Videostudie zum Rechtschreibunterricht in der Primarstufe berichtet. Dabei gilt das Erkenntnisinteresse einerseits den Überzeugungen über Orthografie und Orthografieerwerb selbst, andererseits der Bildung von Überzeugungstypen und deren Zusammenhängen mit Kontextvariablen. Ausgangspunkt der Befragung mittels Fragebogen bildet ein heuristisches Modell mit den Dimensionen Überzeugungen über den Lerngegenstand „Orthografie“, über das Unterrichten von Rechtschreiben und über die (Rechtschreib‑)Lernenden. Die Ergebnisse der Befragung sind insgesamt heterogen und spiegeln nur teilweise didaktische Diskurse wider. Es lassen sich dabei vier Überzeugungstypen generieren, die länderspezifisch verteilt sind.
Prioritizing Elective Surgery During the COVID-19 Pandemic Has Caused Age-Related Inequality: a Multicenter Study
Authors: Uimonen Mikko , Kuitunen Ilari , Ponkilainen Ville , Mattila Ville M.
Published: January 2022

The concern has been that this prioritization has resulted in age-related inequality between patients, with the older population suffering the most. The aim of this multicenter study was to examine the differences in incidence and waiting times of elective surgeries by age during the SARS-CoV-2 coronavirus disease (COVID-19) pandemic in Finland. Data on elective surgery (88 716 operations) were gathered from three Finnish public hospitals for the years 2017–2020. Surgery incidence and waiting times stratified by age groups (younger than 18, 18 to 49, 50 to 69, and 70 or older) were examined, and the year 2020 was compared to the reference years 2017–2019. The mean annual, monthly, and weekly waiting times were calculated with 95% confidence intervals (CI). The first COVID-19 wave decreased surgery incidence most prominently in patients younger than 18 (incidence rate ratio [IRR] 0.64, CI 0.60–0.68) and 70 or older (IRR 0.68, CI 0.66–0.70). After the first wave, the incidence increased in patients aged 50 to 69 and 70 or older by 22% and 29%, respectively. Among patients younger than 18, the incidence in 2020 was 15% lower. In patients younger than 18, waiting times were at mean of 43% longer in June to December compared to the reference years. In patients aged 18 to 49, 50 to 69, and 70 or older, waiting times increased in May but recovered to normal level during fall 2020. COVID-19 decreased the incidence of surgery and led to increased waiting times. Clearing of the treatment backlog started with older patients which resulted in prolonged waiting times among pediatric patients.
Cluster Headache and the Comprehension Paradox
Authors: Pohl Heiko , Gantenbein Andreas R. , Sandor Peter S. , Schoenen Jean , Andrée Colette
Published: January 2022

Patients with primary headache disorders such as cluster headache cycle between being entirely healthy and almost completely incapacitated. Sick leave or reduced performance due to headache attacks demands flexibility by their social counterparts. The objective of this study is to test the hypothesis that headache patients cause frustration that grows with the times colleagues have to take over their work. In this study, we analysed cluster headache patients’ answers to an online questionnaire. Participants self-reported their number of sick days, the number of days on which leisure activities were missed and whether they felt understood by colleagues and family. We then investigated the correlation between the number of sick days and the proportion of patients feeling understood by colleagues and friends. We found that feeling understood by colleagues and friends decreases with a growing number of sick days. However, when sick days accrue further, this proportion increases again. The number of sick days correlates similarly with both colleagues’ and friends’ understanding. The number of cluster headache patients feeling understood by others decreases with an increasing number of sick days. Their social circles’ frustration with the patients’ failure to meet obligations and expectations are a likely reason. With a growing number of sick days, however, the portion of patients feeling understood rises again despite patients meeting others’ expectations even less. This ‘comprehension paradox’ implies the influence of other factors. We suspect that growing numbers of sick days foster understanding as the disability of the disease becomes increasingly apparent.
A quantum convolutional neural network on NISQ devices
Authors: Wei ShiJie , Chen YanHu , Zhou ZengRong , Long GuiLu
Published: January 2022

Quantum machine learning is one of the most promising applications of quantum computing in the noisy intermediate-scale quantum (NISQ) era. We propose a quantum convolutional neural network(QCNN) inspired by convolutional neural networks (CNN), which greatly reduces the computing complexity compared with its classical counterparts, with O((log2M)6) basic gates and O(m2+e) variational parameters, where M is the input data size, m is the filter mask size, and e is the number of parameters in a Hamiltonian. Our model is robust to certain noise for image recognition tasks and the parameters are independent on the input sizes, making it friendly to near-term quantum devices. We demonstrate QCNN with two explicit examples. First, QCNN is applied to image processing, and numerical simulation of three types of spatial filtering, image smoothing, sharpening, and edge detection is performed. Secondly, we demonstrate QCNN in recognizing image, namely, the recognition of handwritten numbers. Compared with previous work, this machine learning model can provide implementable quantum circuits that accurately corresponds to a specific classical convolutional kernel. It provides an efficient avenue to transform CNN to QCNN directly and opens up the prospect of exploiting quantum power to process information in the era of big data.
Tuberculosis and Diabetes in India: Stakeholder Perspectives on Health System Challenges and Opportunities for Integrated Care
Authors: Fazaludeen Koya Shaffi , Lordson Jinbert , Khan Salman , Kumar Binod , Grace Chitra , Nayar K. Rajasekharan , Kumar Vinod , Pillai Anand M. , Sadasivan Lal S. , Pillai A. Marthanda , Abdullah Abu S.
Published: January 2022

Background

India has a dual burden of tuberculosis (TB) and diabetes mellitus (DM). Integrated care for TB/DM is still in the early phase in the country and can be considerably enhanced by understanding and addressing the challenges identified from stakeholders’ perspectives. This study explored the challenges and opportunities at individual, health system and policy level for integrated care of TB/DM comorbidities in India.

Methods

We used an outlier case study approach and conducted stakeholder interviews and focus group discussions with relevant program personnel including field staff and program managers of TB and DM control programs as well as officials of partners in Indian states, Kerala and Bihar.

Results

The integrated management requires strengthening the laboratory diagnosis and drug management components of the two individual programs for TB and DM. Focused training and sensitization of healthcare workers in public and private sector across all levels is essential. A district level management unit that coordinates the two vertical programs with a horizontal integration at the primary care level is the way forward. Substantial improvement in data infrastructure is essential to improve decision-making process.

Conclusion

Bi-directional screening and management of TB/DM comorbidities in India requires substantial investment in human resources, infrastructure, drug availability, and data infrastructure.
Navigating norms and invisible rules: Explaining the case of business influence in international shipping regulation
Authors: Hendriksen Christian
Published: January 2022

This article develops a micro-level theoretical perspective of business influence in international negotiations. By drawing on organizational institutional theory, the article proposes that site-specific institutionalized norms can structure the nature and extent of business power. The article illustrates the value of this perspective through an illustrative case study of the International Maritime Organization (IMO) through interviews and participant observation of on-site dynamics during negotiations on environmental shipping regulation. The article shows how, in the case of the IMO, specific institutionalized norms and beliefs structure private actors’ possible influence and their claims to authority. In particular, strongly held beliefs about the nature of political deliberation in the IMO both constrain and enable business interests, sometimes overriding the general structural power of the shipping industry. This research implies that future scholarship of business power and lobbying should be attentive to specific institutionalized ideas structuring business actors’ range of legitimate activities, in particular in international institutions where individual negotiation sites can develop idiosyncratic norms and beliefs about the legitimacy of private actor participation.
Knowledge, Attitudes and Practices of Undergraduate Nursing Towards Novel Corona Virus (COVID 19)
Authors: Hasan Abd Alhadi , AlJarrah Imad
Published: January 2022

Background:

The recent emerging respiratory disease caused by the novel type of Coronavirus has been named as COVID-19. This respiratory illness has received international attention and it is categorized as a high-threat disease in the US by the Center for Disease Control and Prevention. The purpose of the study was to assess the knowledge, attitude and practice of undergraduate nursing students towards COVID-19.

Methods:

Descriptive cross-sectional design was used to assess knowledge, practice and attitudes of 255 undergraduate nursing students towards COVID-19. Study participants were recruited from the nursing college to Fakeeh College for Medical Sciences, between April and July, 2020.

Results:

The results of study participants showed that undergraduate nursing students had moderate knowledge of COVID-19. Also, participants had high level of knowledge regarding nature of diseases and precautionary measures by health care providers’ dimensions however, they expressed limited knowledge towards modes of transmission. Moreover, study participants demonstrated an optimistic attitude toward disease and good practice towards COVID-19.

Conclusion:

The study results revealed that the study’s participants demonstrated good knowledge with favorable and accepted practice. This study suggests the importance of emphasis on infectious disease in the nursing curriculum.
Recruitment, Readiness, and Retention of Providers at a Field Hospital During the Pandemic
Authors: Gupta Ishaan , Siddiqui Zishan K. , Phillips Mark D. , Singh Amteshwar , Eid Shaker M. , Wortman Laura , Kisuule Flora , Ficke James R. ,   CONQUER COVID Consortium, Kantsiper Melinda E.
Published: January 2022

In response to the coronavirus disease (COVID-19) pandemic, the State of Maryland established a 250-bed emergency response field hospital at the Baltimore Convention Center to support the existing health care infrastructure. To operationalize this hospital with 65 full-time equivalent clinicians in less than 4 weeks, more than 300 applications were reviewed, 186 candidates were interviewed, and 159 clinicians were credentialed and onboarded. The key steps to achieve this undertaking involved employing multidisciplinary teams with experienced personnel, mass outreach, streamlined candidate tracking, pre-interview screening, utilizing all available expertise, expedited credentialing, and focused onboarding. To ensure staff preparedness, the leadership developed innovative team models, applied principles of effective team building, and provided “just in time” training on COVID-19 and non-COVID-19-related topics to the staff. The leadership focused on staff safety and well-being, offered appropriate financial remuneration, and provided leadership opportunities that allowed retention of staff.