bluuebunny/crossref_metadata_2025_split huggingface dataset:
Special economic zones and the role of construction industry enterprises in their creation
Authors: Zakharov S V , Ivanov M Y , Rebrikova A V , ShuiYao Xu 
Published: May 2021

Abstract
The article discusses the creation of special economic zones on the territory of the Russian Federation within the framework of the existing legislation. A refined methodology for assessing the effectiveness of the functioning of special economic zones is proposed, taking into account the leading role of enterprises in the construction industry, as an important city-forming component. A stage-by-stage justification of the creation of a special economic zone on the territory of the Irkutsk region was carried out. The concept of the special status of an economic zone has been clarified in relation to the real economic situation. In accordance with the current legislation, the role of enterprises in the construction industry in the creation and assessment of the effectiveness of the functioning of special economic zones of a technology-innovative type has been substantiated. The criteria for assessing the effectiveness of the functioning of a special economic zone have been determined. It is shown that the leading role in the creation of special economic zones on the territory of the Russian Federation belongs to the enterprises of the construction industry.
Simulation Research of Airflow in the Prefabricated Large Duct Elbow with Different Deflectors
Authors: Tang Yi , Wang Haidong , Pan Jian , Zhu Jieke , Chen Xiaowen 
Published: May 2021

Abstract
For the large air duct with inner and outer arc elbows commonly used in engineering, the forms of setting internal deflector will led to different diversion effects, which will affect the airflow uniformity, energy and pressure loss as well as noise in the elbow. In this paper, the comparison of different diversion forms, spacing and number of pieces in large air duct with inner and outer arc elbow are carried out. This paper aims to provide reference for engineering construction by using visualization technology.
In-situ preparation of MIL-88A(Fe)/MIL-100(Fe)/PVA-Co-PE nanofiber membranes for efficient photocatalytic reduction of CO2
Authors: Fan Xianwei , Zhao Ran , Hu Haoxuan , Liu Junyi , Nie Yahui , Wang Dong 
Published: May 2021

Abstract
In this paper, we tend to ready a polyvinyl alcohol-polyethylene (PVA-Co-PE) composite nanofiber membrane catalyst decorated by bimetallic organic framework MIL-100(Fe)/MIL-88A(Fe). The experimental results of the performance of photocatalytic reduction of CO2 show that it exhibits glorious photocatalytic activity for the reduction of CO2 underneath actinic ray irradiation, and also the best conversion rate of CO2 is 8.3 mL/h. Through SEM, XRD, BET, DRS, FTIR, and alternative characterization ways, the factors touching the photocatalytic CO2 reduction method of the composite nanofiber membrane were investigated. Studies have found that the bimetallic framework structure increases the photocurrent density and significantly reduces the photoluminescence intensity. The versatile composite nanofiber membrane has high photocatalytic activity and smart reusability and features a smart prospect within the photocatalytic reduction of CO2 treatment.
Research on assembly installation technology of special-shaped decorative grille curtain wall
Authors: Zijun Xia , Zheng Zeng 
Published: May 2021

Abstract
The Zhumadian International Convention and Exhibition Center project is designed to create a “wind blowing wheat wave” architectural effect. The large cantilevered structure of the inner and outer ring adopts hyperboloid special-shaped aluminum alloy decorative grille curtain wall design, and the whole is in the shape of a streamer. The construction period is tight, the installation volume of the special-shaped grille curtain wall is large, the positioning is difficult, and the forming effect is not easy to control. After exploration and research, a special-shaped aluminum alloy decorative grille curtain wall assembly installation technology method has been formed. It innovatively solves a series of problems encountered in construction, and has achieved good economic and social benefits. It can provide a reference for similar projects and promote the application of aluminum alloy decorative grille curtain walls in construction projects.
Elastic film modelling and experimental research of the first-order vibration frequencies of sessile micro-droplets
Authors: Liu Jing , Wei Ruihua , Lin Shiji , Chen Longquan , Wei Zheng 
Published: May 2021

Abstract
Many factors are known to affect the vibration characteristics of sessile micro-droplets, such as surface tension, liquid densities, and contact angles. In this study, the vibration signals of the sessile micro-droplets under the conditions of different contact angles and viscosities were obtained using experimental processes. A theoretical model was designed based on the experimental phenomena in which the contact angles and contact lines were fixed. Then, similar to the vibrations of solid elastic film, it was assumed that the vibration waves of the sessile droplets existed within a certain thickness of the droplet surfaces, which provided a theoretical basis for the periodic correction coefficients. It was found that although the model was simple, it was in good agreement with the experimental results.
New horizons in understanding the experience of Chinese people living with dementia: a positive psychology approach
Authors: Lau Wing Yin Tiffany , Stoner Charlotte , Wong Gloria Hoi-Yan , Spector Aimee 
Published: May 2021

AbstractAs the global average age increases, the incidence of dementia is also rising. Given improvements in diagnosis and life expectancies, people now live longer with dementia. Thus, the wellbeing and quality of life among people living with dementia are increasingly important areas for research.Research with Western populations has recently begun to apply positive psychology concepts to understand wellbeing in people with dementia. Positive psychology focuses on positive emotions and traits that allow individuals to flourish and thrive—it highlights the possibility of positive subjective experiences in the face of loss and functional decline, and contrasts the traditional deficit-focused perception of dementia.Despite being a major driver in the global growth of dementia prevalence, there is a dearth of research using such positive concepts to understand people with dementia in non-Western communities. This review contains discussion of research on positive constructs in Chinese older adults, and parallels between traditional Chinese cultural values and positive psychology. On this basis, we propose the applicability of a positive psychology framework to Chinese people with dementia, and that ‘harmony’ is an important culturally specific concept to consider in this area of research.A positive psychology approach acknowledges that strengths and positive experiences can endure after dementia diagnosis. This not only adds to the under-researched area of lived experience of dementia in Chinese people, but highlights areas that could be the focus of interventions or measured as outcomes. By improving understanding, this approach also has potential to reduce carer burden and stigma around dementia.
Evaluation of a risk assessment model to predict infection with healthcare facility–onsetClostridioides difficile
Authors: Tilton Carrie S , Sexton Mary Elizabeth , Johnson Steven W , Gu Chunhui , Chen Zhengjia , Robichaux Chad , Metzger Nicole L 
Published: May 2021

AbstractPurposeWe evaluated a previously published risk model (Novant model) to identify patients at risk for healthcare facility–onset Clostridioides difficile infection (HCFO-CDI) at 2 hospitals within a large health system and compared its predictive value to that of a new model developed based on local findings.MethodsWe conducted a retrospective case-control study including adult patients admitted from July 1, 2016, to July 1, 2018. Patients with HCFO-CDI who received systemic antibiotics were included as cases and were matched 1 to 1 with controls (who received systemic antibiotics without developing HCFO-CDI). We extracted chart data on patient risk factors for CDI, including those identified in prior studies and those included in the Novant model. We applied the Novant model to our patient population to assess the model’s utility and generated a local model using logistic regression–based prediction scores. A receiver operating characteristic area under the curve (ROC-AUC) score was determined for each model.ResultsWe included 362 patients, with 161 controls and 161 cases. The Novant model had a ROC-AUC of 0.62 in our population. Our local model using risk factors identifiable at hospital admission included hospitalization within 90 days of admission (adjusted odds ratio [OR], 3.52; 95% confidence interval [CI], 2.06-6.04), hematologic malignancy (adjusted OR, 12.87; 95% CI, 3.70-44.80), and solid tumor malignancy (adjusted OR, 4.76; 95% CI, 1.27-17.80) as HCFO-CDI predictors and had a ROC-AUC score of 0.74.ConclusionThe Novant model evaluating risk factors identifiable at admission poorly predicted HCFO-CDI in our population, while our local model was a fair predictor. These findings highlight the need for institutions to review local risk factors to adjust modeling for their patient population.
Drivers and patterns of bite force evolution in liolaemid lizards
Authors: Cruz Félix B , Moreno Azocar Débora Lina , Vanhooydonck Bieke , Schulte James A , Abdala Cristian S , Herrel Anthony 
Published: May 2021

Abstract
Phenotypic variation is the result of selection on traits that are relevant in a given ecological context. Phylogenetic history, genetic drift, and any developmental or structural constraints may, however, limit variation in trait expression. It has been proposed that organismal performance traits take up a pivotal role in driving variation in morphology due to their central role in survival and reproductive success. However, how strong the links are between morphology and performance, and how the strength of this relationship impacts the rate of evolution of form and function need to be studied across a wider variety of systems to better understand the origin and evolution of biodiversity. Here we used data on the jaw system (muscle architecture and head dimensions) of liolaemid lizards to investigate the drivers of in vivo bite force variation and test for differences in evolutionary rates in morphology and performance. Our results show high rates of evolution for performance traits compared to morphological traits such as external head dimensions. Many-to-one mapping of morphology to performance, that is the possibility that different anatomical trait combinations lead to similar levels of performance, appears to be common in the jaw system of these lizards. Finally, traits showing greater mechanical sensitivity (muscle cross-sectional areas) showed higher rates of evolution compared to traits involved in other functions and that are probably subject to trade-offs (e.g. head width).
Ontogenetic changes in activity, locomotion and behavioural complexity in tadpoles
Authors: Cheron Marion , Raoelison Léa , Kato Akiko , Ropert-Coudert Yan , Meyer Xavier , MacIntosh Andrew J J , Brischoux François 
Published: May 2021

Abstract
Metamorphosis is a widespread developmental process that involves considerable changes in morphology, habitat use, ecology and behaviour between early developmental (larval) stages and adult forms. Among amphibians, anuran larvae (tadpoles) undergo massive morphological and ecological changes during their development, with early stages characterized by somatic growth, whereas more conspicuous changes (i.e. metamorphosis) occur later during development. In this study, we examined how locomotor and behavioural traits covary with morphology (body size) and metamorphosis (hindlimb and forelimb development) across developmental stages in spined toad (Bufo spinosus) tadpoles. As expected, we found that locomotion and behaviour undergo significant changes during tadpole development. These changes are curvilinear across developmental stages, with a phase of increasing activity and locomotion followed by a phase of stasis and/or reduction in locomotion and behavioural complexity. All the metrics we investigated indicate that the peak of activity and associated behaviour is situated at a pivotal stage when somatic growth decreases and significant morphological changes occur (i.e. hindlimb growth). Future studies that aim to investigate determinants of locomotion should include developmental stages as covariates in order to assess whether the sensitivity of locomotion to environmental variables changes across developmental stages.
‘Social Workers Failed to Heed Warnings’: A Text-Based Study of How a Profession is Portrayed in UK Newspapers
Authors: Leedham Maria 
Published: May 2021

Abstract
Previous research has indicated that social workers are portrayed negatively in the UK press, particularly in child protection cases. But what is the nature of this negativity? And are social workers also mentioned in more positive contexts? To explore these questions, a collection of three months of newspaper articles was compiled (early May to early August 2019), using the seed term ‘social worker(s)’. Almost 1,000 occurrences were located and categorised as ‘positive’ (6 per cent of instances), ‘negative’ (25 per cent) or ‘neutral’ (69 per cent). Further classification of negative instances indicates these concern social workers’ perceived failure to act rather than perceived over-zealous behaviour (ratio 5:2). Findings also suggest that the press tend to hold social workers to a higher moral standard in their everyday lives than is the case for other members of society. Understanding how social workers are portrayed in the press is important for practitioners in terms of recruitment, job satisfaction and retention. In addition, as newspapers are the major source of information on social work for members of the public, greater awareness could reduce the societal tendency towards finding individuals to blame.
Pertussis Immunization During Pregnancy: Assessment of the Role of Maternal Antibodies on Immune Responses in Term and Preterm-Born Infants
Authors: Maertens Kirsten , Orije Marjolein R P , Herzog Sereina A , Mahieu Ludo M , Hens Niel , Van Damme Pierre , Leuridan Elke 
Published: May 2021

Abstract

Background
Limited data exist on the impact of maternal tetanus, diphtheria, acellular pertussis (Tdap) vaccination for preterm born infants. We report its effect at birth and on antibody-mediated immune responses to a DTaP-IPV-HB-PRP~T vaccine in preterm compared with term infants.

Methods
Women delivering at term or prematurely were either vaccinated with a Tdap vaccine (Boostrix; GSK) during pregnancy or not vaccinated in the last 5 years. Cord and maternal blood were collected at delivery. Infants were vaccinated with DTaP-IPV-HB-PRP~T vaccine (Hexyon; Sanofi Pasteur) and blood collected before and 1 month after primary (8-12-16 weeks) and before and 1 month after booster vaccination (13 or 15 months for preterm and term, respectively). Immunoglobulin G antibodies against all antigens included in DTaP-IPV-HB-PRP~T vaccine were measured (NCT02511327).

Results
Cord blood geometric mean concentrations (GMCs) in preterm infants from Tdap-vaccinated women were significantly higher than in term and preterm infants from unvaccinated women. A longer time interval between maternal vaccination and delivery resulted in higher cord blood GMCs in preterm infants. Equal GMCs in term and preterm infants from Tdap-vaccinated women were observed after primary vaccination. After boosting, significantly lower GMCs were seen for pertussis toxin, filamentous hemagglutinin, and tetanus toxoid in preterm compared with term infants from Tdap-vaccinated women, yet still comparable to GMCs in both term and preterm infants from unvaccinated women.

Conclusions
Preterm infants profit from maternal Tdap vaccination. Prematurity did not influence primary immune responses in the presence of maternal antibodies but was associated with a lower booster immune response.
If, When, and How to Use Rifampin in Acute Staphylococcal Periprosthetic Joint Infections, a Multicentre Observational Study
Authors: Beldman Mark , Löwik Claudia , Soriano Alex , Albiach Laila , Zijlstra Wierd P , Knobben Bas A S , Jutte Paul , Sousa Ricardo , Carvalho André , Goswami Karan , Parvizi Javad , Belden Katherine A , Wouthuyzen-Bakker Marjan 
Published: May 2021

Abstract

Background
Rifampin is generally advised in the treatment of acute staphylococcal periprosthetic joint infections (PJI). However, if, when, and how to use rifampin remains a matter of debate. We evaluated the outcome of patients treated with and without rifampin, and analyzed the influence of timing, dose and co-antibiotic.

Methods
Acute staphylococcal PJIs treated with surgical debridement between 1999 and 2017, and a minimal follow-up of 1 year were evaluated. Treatment failure was defined as the need for any further surgical procedure related to infection, PJI-related death or the need for suppressive antimicrobial treatment.

Results
A total of 669 patients were analyzed. Treatment failure was 32.2% (131/407) in patients treated with rifampin and 54.2% (142/262) in whom rifampin was withheld (P &lt; .001). The most prominent effect of rifampin was observed in knees (treatment failure 28.6% versus 63.9%, respectively, P &lt; .001). The use of rifampin was an independent predictor of treatment success in the multi-variate analysis (OR 0.30, 95% CI 0.20 – 0.45). In the rifampin group, the use of a co-antibiotic other than a fluoroquinolone or clindamycin (OR 10.1, 95% CI 5.65 – 18.2) and the start of rifampin within 5 days after surgical debridement (OR 1.96, 95% CI 1.08 – 3.65) were predictors of treatment failure. The dosing of rifampin had no effect on outcome.

Conclusions
Our data supports the use of rifampin in acute staphylococcal PJIs treated with surgical debridement, particularly in knees. Immediate start of rifampin after surgical debridement should probably be discouraged, but requires further investigation.
Hybridized Cuckoo Search with Multi-Verse Optimization-Based Patch Matching and Deep Learning Concept for Enhancing Video Inpainting
Authors: Janardhana Rao B , Chakrapani Y , Srinivas Kumar S 
Published: May 2021

Abstract
This paper aims to develop a novel deep learning concept to deal with video inpainting. Initially, motion tracking is performed, which is the process of determining motion vectors that describe the transformation from adjacent frames in a video sequence. Further, the regions or patches of each frame are categorized using the optimized recurrent neural network (RNN), in which the region is split into a smooth and structure region. It is performed using the texture feature called grey-level co-occurrence matrix. The filling of the smooth region is accomplished by replacing with the mean pixels of unmasked region, and the structure region is done by optimized patch matching approach based on scale-invariant feature transform (SIFT). The main objective optimized patch matching is based on the minimized Euclidean distance between the extracted SIFT features of the original patch and reference patch, and the certain patch is inpainted by the optimized patch. Here, the hybridization of two meta-heuristic algorithms like cuckoo search algorithm and multi-verse optimization (MVO) called Cuckoo Search-based MVO is used to optimize the RNN and patch matching. Finally, the experimental results verify the reliability of the proposed algorithm over existing algorithms.
Modeling Higher-Order Interactions in Complex Networks by Edge Product of Graphs
Authors: Wang Yucheng , Yi Yuhao , Xu Wanyue , Zhang Zhongzhi 
Published: May 2021

Abstract
Many graph products have been applied to generate complex networks with striking properties observed in real-world systems. In this paper, we propose a simple generative model for simplicial networks by iteratively using edge corona product. We present a comprehensive analysis of the structural properties of the network model, including degree distribution, diameter, clustering coefficient, as well as distribution of clique sizes, obtaining explicit expressions for these relevant quantities, which agree with the behaviors found in diverse real networks. Moreover, we obtain exact expressions for all the eigenvalues and their associated multiplicities of the normalized Laplacian matrix, based on which we derive explicit formulas for mixing time, mean hitting time and the number of spanning trees. Thus, as previous models generated by other graph products, our model is also an exactly solvable one, whose structural properties can be analytically treated. More interestingly, the expressions for the spectra of our model are also exactly determined, which is sharp contrast to previous models whose spectra can only be given recursively at most. This advantage makes our model a good test bed and an ideal substrate network for studying dynamical processes, especially those closely related to the spectra of normalized Laplacian matrix, in order to uncover the influences of simplicial structure on these processes.
Improving dynamic stroke risk prediction in non-anticoagulated patients with and without atrial fibrillation: comparing common clinical risk scores and machine learning algorithms
Authors: Lip Gregory Y H , Tran George , Genaidy Ash , Marroquin Patricia , Estes Cara , Landsheft Jeremy 
Published: May 2021

Abstract

Aims
Diversified cardiovascular/non-cardiovascular multi-morbid risk and efficient machine learning algorithms may facilitate improvements in stroke risk prediction, especially in newly diagnosed non-anticoagulated atrial fibrillation (AF) patients where initial decision-making on stroke prevention is needed. Therefore the aims of this article are to study common clinical risk assessment for stroke risk prediction in AF/non-AF cohorts together with cardiovascular/ non-cardiovascular multi-morbid conditions; to improve stroke risk prediction using machine learning approaches; and to compare the improved clinical prediction rules for multi-morbid conditions using machine learning algorithms

Methods and results
We used cohort data from two health plans with 6 457 412 males/females contributing 14,188,679 person-years of data. The model inputs consisted of a diversified list of comorbidities/demographic/ temporal exposure variables, with the outcome capturing stroke event incidences. Machine learning algorithms used two parametric and two nonparametric techniques. The best prediction model was derived on the basis of non-linear formulations using machine learning criteria, with the highest c-index was obtained for logistic regression [0.892; 95% confidence interval (CI) 0.886–0.898] with consistency on external validation (0.891; 95% CI 0.882–0.9). These were significantly higher than those based on the conventional stroke risk scores (CHADS2: 0.7488, 95% CI 0.746–0.7516; CHA2DS2-VASc: 0.7801, 95% CI 0.7772–0.7831) and multi-morbid index (0.8508, 95% CI 0.8483–0.8532). The machine learning algorithm had good internal and external calibration and net benefit values.

Conclusion
In this large cohort of newly diagnosed non-anticoagulated AF/non-AF patients, large improvements in stroke risk prediction can be shown with cardiovascular/non-cardiovascular multi-morbid index and a machine learning approach accounting for dynamic changes in risk factors.