bluuebunny/crossref_metadata_2025_split huggingface dataset:
The osseointegration and stability of dental implants with different surface treatments in animal models: a network meta-analysis
Authors: Hao Chun-Ping , Cao Nan-Jue , Zhu Yu-He , Wang Wei 
Published: July 2021

AbstractDental implants are commonly used to repair missing teeth. The implant surface plays a critical role in promoting osseointegration and implant success. However, little information is available about which implant surface treatment technology best promotes osseointegration and implant stability. The aim of this network meta-analysis was to evaluate the osseointegration and stability of four commonly used dental implants (SLA, SLActive, TiUnite, and Osseotite). The protocol of the current meta-analysis is registered in PROSPERO (International Prospective Register of Systematic Reviews) under the code CRD42020190907 (https://www.crd.york.ac.uk). We conducted a systematic review following PRISMA and Cochrane Recommendations. Medline (PubMed), Cochrane Library, Embase, and the Web of Science databases were searched. Only randomized controlled trials were considered. Twelve studies were included in the current network meta-analysis, eleven studies were included concerning the osseointegration effect and five studies were included for stability analysis (four studies were used to assess both stability and osseointegration). Rank possibility shows that the SLActive surface best promoted bone formation at an early healing stage and TiUnite seemed to be the best surface for overall osseointegration. For stability, TiUnite seemed to be the best surface. The present network meta-analysis showed that the SLActive surface has the potential to promote osseointegration at an early stage. The TiUnite surface had the best effect on osseointegration regarding the overall healing period. The TiUnite surface also had the best effect in stability.
Natural hazard triggered technological risks in the Yangtze River Economic Belt, China
Authors: Gao Yue , Cao Guozhi , Ni Ping , Tang Yue , Liu Yetong , Bi Jun , Ma Zongwei 
Published: July 2021

AbstractWith the continuous occurrence of natural disasters, natural hazard triggered technological accident (Natech) risks also follow. At present, many countries have performed much research on Natech risks. However, there is still a lack of Natech research at the regional or watershed level in China. The Yangtze River Economic Belt (YREB) is not only an industrially intensive development area but also an area with frequent natural disasters. In this study, we selected the YREB as a typical case to study the Natech risk triggered by floods, geological disasters, and typhoons at the regional or watershed level. Four types of risk indicators representing risk sources, natural hazard factors, control levels, and vulnerabilities were developed to assess the spatial patterns of the Natech risks of the YREB. The results show that the Natech risk triggered by floods and typhoons is more serious in eastern area and central area than in western zone and that the Natech risk triggered by geological disasters is more serious in the west part. Approximately 7.85% of the areas are at relatively high-risk and above the Natech risk level based on the comprehensive assessment of three types of Natech risks. The combined population of these areas accounts for approximately 15.67% of the whole YREB, and the combined GDP accounts for approximately 25.41%. It can be predicted that the occurrence of Natech risks in these areas will cause serious harm to both the people and the economy. This work will provide the basis and key management direction for Natech risk management in the YREB.
Critical fluctuations in epidemic models explain COVID-19 post-lockdown dynamics
Authors: Aguiar Maíra , Van-Dierdonck Joseba Bidaurrazaga , Mar Javier , Cusimano Nicole , Knopoff Damián , Anam Vizda , Stollenwerk Nico 
Published: July 2021

AbstractAs the COVID-19 pandemic progressed, research on mathematical modeling became imperative and very influential to understand the epidemiological dynamics of disease spreading. The momentary reproduction ratior(t) of an epidemic is used as a public health guiding tool to evaluate the course of the epidemic, with the evolution ofr(t) being the reasoning behind tightening and relaxing control measures over time. Here we investigate critical fluctuations around the epidemiological threshold, resembling new waves, even when the community disease transmission rate$$\beta$$βis not significantly changing. Without loss of generality, we use simple models that can be treated analytically and results are applied to more complex models describing COVID-19 epidemics. Our analysis shows that, rather than the supercritical regime (infectivity larger than a critical value,$$\beta > \beta _c$$β>βc) leading to new exponential growth of infection, the subcritical regime (infectivity smaller than a critical value,$$\beta < \beta _c$$β<βc) with small import is able to explain the dynamic behaviour of COVID-19 spreading after a lockdown lifting, with$$r(t) \approx 1$$r(t)≈1hovering around its threshold value.
Heat transport through propagon-phonon interaction in epitaxial amorphous-crystalline multilayers
Authors: Ishibe Takafumi , Okuhata Ryo , Kaneko Tatsuya , Yoshiya Masato , Nakashima Seisuke , Ishida Akihiro , Nakamura Yoshiaki 
Published: July 2021

AbstractManaging heat dissipation is a necessity for nanoscale electronic devices with high-density interfaces, but despite considerable effort, it has been difficult to establish the phonon transport physics at the interface due to a “complex” interface layer. In contrast, the amorphous/epitaxial interface is expected to have almost no “complex” interface layer due to the lack of lattice mismatch strain and less associated defects. Here, we experimentally observe the extremely-small interface thermal resistance per unit area at the interface of the amorphous-germanium sulfide/epitaxial-lead telluride superlattice (~0.8 ± 4.0 × 10‒9 m2KW−1). Ab initio lattice dynamics calculations demonstrate that high phonon transmission through this interface can be predicted, like electron transport physics, from large vibron-phonon density-of-states overlapping and phonon group velocity similarity between propagon in amorphous layer and “conventional” phonon in crystal. This indicates that controlling phonon (or vibron) density-of-states and phonon group velocity similarity can be a comprehensive guideline to manage heat conduction in nanoscale systems.
A BERT model generates diagnostically relevant semantic embeddings from pathology synopses with active learning
Authors: Mu Youqing , Tizhoosh Hamid R. , Tayebi Rohollah Moosavi , Ross Catherine , Sur Monalisa , Leber Brian , Campbell Clinton J. V. 
Published: July 2021

Abstract
Background
Pathology synopses consist of semi-structured or unstructured text summarizing visual information by observing human tissue. Experts write and interpret these synopses with high domain-specific knowledge to extract tissue semantics and formulate a diagnosis in the context of ancillary testing and clinical information. The limited number of specialists available to interpret pathology synopses restricts the utility of the inherent information. Deep learning offers a tool for information extraction and automatic feature generation from complex datasets.

Methods
Using an active learning approach, we developed a set of semantic labels for bone marrow aspirate pathology synopses. We then trained a transformer-based deep-learning model to map these synopses to one or more semantic labels, and extracted learned embeddings (i.e., meaningful attributes) from the model’s hidden layer.

Results
Here we demonstrate that with a small amount of training data, a transformer-based natural language model can extract embeddings from pathology synopses that capture diagnostically relevant information. On average, these embeddings can be used to generate semantic labels mapping patients to probable diagnostic groups with a micro-average F1 score of 0.779 Â ± 0.025.

Conclusions
We provide a generalizable deep learning model and approach to unlock the semantic information inherent in pathology synopses toward improved diagnostics, biodiscovery and AI-assisted computational pathology.
Laser-based bioprinting for multilayer cell patterning in tissue engineering and cancer research
Authors: Yang Haowei , Yang Kai-Hung , Narayan Roger J. , Ma Shaohua 
Published: July 2021

Abstract
3D printing, or additive manufacturing, is a process for patterning functional materials based on the digital 3D model. A bioink that contains cells, growth factors, and biomaterials are utilized for assisting cells to develop into tissues and organs. As a promising technique in regenerative medicine, many kinds of bioprinting platforms have been utilized, including extrusion-based bioprinting, inkjet bioprinting, and laser-based bioprinting. Laser-based bioprinting, a kind of bioprinting technology using the laser as the energy source, has advantages over other methods. Compared with inkjet bioprinting and extrusion-based bioprinting, laser-based bioprinting is nozzle-free, which makes it a valid tool that can adapt to the viscosity of the bioink; the cell viability is also improved because of elimination of nozzle, which could cause cell damage when the bioinks flow through a nozzle. Accurate tuning of the laser source and bioink may provide a higher resolution for reconstruction of tissue that may be transplanted used as an in vitro disease model. Here, we introduce the mechanism of this technology and the essential factors in the process of laser-based bioprinting. Then, the most potential applications are listed, including tissue engineering and cancer models. Finally, we present the challenges and opportunities faced by laser-based bioprinting.
Voltage control and virtual synchronous generator control of HVDC interconnection line for improving stability of power system including large‐scale wind farm
Authors: Nakamura Ayaka , Alsharif Faramarz , Umemura Atsushi , Takahashi Rion , Tamura Junji , Sakahara Atsushi , Tosaka Fumihito , Nakamoto Ryosuke 
Published: July 2021

AbstractLarge‐scale integration of renewable energy sources (RESs) such as wind power can impact on the existing power system's stability. For example, there is a possibility that the wind farm (WF) cannot be maintained stable and then it is disconnected from the grid when the instantaneous voltage sag caused by a grid disturbance occurs. Moreover, the increasing integration of RESs in the power system can reduce the number of conventional synchronous generators (SGs) connected to the grid, and lead to a reduction of system inertia in the grid. The system inertia reduction can cause larger and faster frequency fluctuations during the transient period. Hence, this paper proposes a new control strategy composed of the voltage control for suppressing the voltage sag and the virtual synchronous generator (VSG) control based on the proportional‐integral‐differential (PID) fuzzy logic control (FLC) for maintaining the frequency stability which is performed by high voltage direct current (HVDC) interconnection line. The aim of the new control strategy is to improve the stability of the entire power system with large‐scale integration of RESs. The effectiveness of the proposed strategy is confirmed through the simulation analyses by PSCAD/EMTDC.
Tobacco Use Is Associated with More Severe Adverse Outcomes Than Morbid Obesity after Aseptic Revision TKA
Authors: Hagerty Michael P. , Walker-Santiago Rafael , Tegethoff Jason D. , Stronach Benjamin M. , Keeney James A. 
Published: July 2021

AbstractThe association of morbid obesity with increased revision total knee arthroplasty (rTKA) complications is potentially confounded by concurrent risk factors. This study was performed to evaluate whether morbid obesity was more strongly associated with adverse aseptic rTKA outcomes than diabetes or tobacco use history—when present as a solitary major risk factor. Demographic characteristics, surgical indications, and adverse outcomes (reoperation, revision, infection, and amputation) were compared between 270 index aseptic rTKA performed for patients with morbid obesity (n = 73), diabetes (n = 72), or tobacco use (n = 125) and 239 “healthy” controls without these risk factors at a mean 75.7 (range: 24–111) months. There was no difference in 2-year reoperation rate (17.8 vs. 17.6%, p = 1.0) or component revision rate (8.2 vs. 8.4%) between morbidly obese and healthy patients. However, higher reoperation rates were noted in patients with diabetes (p = 0.02) and tobacco use history (p < 0.01), including higher infection (p < 0.05) and above knee amputation (p < 0.01) rates in patients with tobacco use history. Multivariate analysis retained an independent association between smoking history and amputation risk (odds ratio: 7.4, 95% confidence interval: 1.7–55.2, p < 0.01). Morbid obesity was not associated with an increased risk of reoperation or component revision compared with healthy patients undergoing aseptic revision. Tobacco use was associated with increased reoperation and above knee amputation. Additional study will be beneficial to determine whether risk reduction efforts are effective in mitigating postoperative complication risks.
The Effect of Neonatal Sepsis on Risk of Autism Diagnosis
Authors: Getahun Darios , Fassett Michael J. , Xiang Anny H. , Chiu Vicki Y. , Takhar Harpreet S. , Shaw Sally F. , Peltier Morgan R. 
Published: July 2021

Objective The study aimed to examine the association between neonatal sepsis and autism risk among children and whether the risk varied with the timing of exposure, child's sex, and race/ethnicity.
Study Design We conducted a retrospective cohort study using electronic health records (EHR) extracted from Kaiser Permanente Southern California Health Care System. Mother–child dyads were constructed by linking records of children born to member mothers and continuing to receive care through the system during the follow-up period with those of their biological mothers (n = 469,789). Clinical health records were used to define neonatal sepsis. Diagnosis of autism was made by medical specialists. Potential confounders included maternal sociodemographic factors, obstetrical history, child's age, sex, race/ethnicity, and maternal and child medical history. Incident rates and adjusted hazard ratios (aHR) were used to estimate the associations.
Results Compared with children without the diagnosis of autism, children with the condition were more likely to be from Asian/Pacific Islander descent and male sex. Exposed children showed higher rates of autism as compared with unexposed children (3.43 vs. 1.73 per 1,000 person-years, aHR: 1.67–95% confidence interval [CI]: 1.39–2.00). Both preterm (aHR: 1.47; 95% CI: 1.09–1.98) and term (aHR: 1.63; 95% CI: 1.29–2.06) births were associated with increased risk for autism. Although the magnitude of the HRs and incidence ratios for neonatal sepsis to increase autism risk varied between race ethnicities, neonatal sepsis was associated with significantly increased likelihood of autism diagnosis for all race-ethic groups except for Asian/Pacific Islanders. Although neonatal sepsis was associated with significantly increased autism risk for both boys and girls, incident rates and HR point estimates suggested that the effect may be stronger in girls.
Conclusion Neonatal sepsis is associated with increased risk of autism diagnosis in preterm- and term-born children. The association was significant for both girls and boys and all race ethnicities except for Asian-Pacific Islanders.
Key Points
Strategic maneuvering in extended polylogues
Authors: Egres Dorottya 
Published: July 2021

Abstract
This paper presents the analysis of the Hungarian nuclear expansion controversy using a conceptual framework that
links strategic maneuvering with an extended polylogical controversy and evaluates the strategic maneuvering of political,
environmentalist and expert actors. The paper aims to show that the three aspects of strategic maneuvering (audience demand,
topical potential, presentational devices) are flexible enough that they can be analyzed when the object of study is not a
spatially and temporally localized argumentative situation, but a decade-long debate with multiple actors. In 2014, Hungary signed
a deal with Russia to finance 80% of the investment costs and supply two new reactors to maintain the 40–50% of nuclear energy in
the national energy production.
The Role of Building Sector in Preserving Occupant Health for A Sustainable Development: A Review
Authors: Mansor Razlin , Sheau-Ting Low 
Published: July 2021

Abstract
There has been a dramatic rise in research on sustainable development but limited attention is given to human aspects such as their needs and requirements in a sustainable building. The majority of people spend their time mostly indoor, either for working, studying or living. Therefore, it is important to understand the health implications of building on occupants. The impact of indoor environment on occupant health has been largely disregarded. It should be part of the main agenda in progressing towards sustainable development. This paper aimed to discuss the interplay between indoor environment and occupant health and highlighted the role of building sector in preserving occupant health to ensure that buildings can be optimised for the benefit of occupants. A literature search on published works of indoor environment and occupant health has identified four indoor environment parameters that contribute to occupant health. These include indoor air quality, indoor lighting, indoor cleanliness and ergonomic. The impacts of each indoor environment parameter on occupant health were discussed in this paper. The findings will serve as reference for policy makers to preserve occupant health in buildings and as enhancement strategies for sustainable building development to fulfil the human requirements.
Prediction of Coal-Fired Power Generation Cost
Authors: Wang Yixiao 
Published: July 2021

Abstract
China is not only a big country with coal production, but also a big country with coal consuming. The amount of coal used in coal-fired power generation in China accounts for 30% of the total production each year, but its power generation accounts for 75% of the total power generation. Although all kinds of coal is still the main energy source in China, the proportion of coal-fired power generation will gradually decrease from 2020, and the use of renewable energy will increase. CPPs in China are mainly distributed in the north and the east of China. However, coal reserves are distributed in the northern and western part on a national scale. The cost of coal-fired power generation has always been a hot topic. It is necessary to add fresh water cost and environmental cost to the total cost of coal-fired power generation. However, there are few studies to precisely consider all kinds of possible cost in the CPPs and estimate the cost of coal-fired power generation in the future. This article firstly revises the resources cost estimation in the existing literature. Water consumption for coal extraction, transportation, combustion and circulating cooling is estimated at 0.018 CNY/kWh. Based on the internal resources cost and external environmental cost, this paper established a fitting model to obtain the trend of cost over time. Lastly, it is predicted that the cost growth trend of coal-fired power generation will reach the peak in 2020 at around 0.908 CNY/kWh, and then it will rapidly decrease year by year.
Application of poly(ether imide) membranes for the removal of the aromatic sulphur compounds from gasoline
Authors: Nedeljkovic Dragutin 
Published: July 2021

Abstract
Organic sulphur compounds are regularly present in the crude oil and natural gasoline, mostly as mercaptanes and heterocyclic sulphur compounds. Their combustion products have negative effects to both to the performance of the devices using gasoline and to the environment. Therefore, removal of the sulphur compounds in the pre-combustion process is of a great importance. One of the most promising method is application of the polymeric membranes. Suitable membrane should provide high permeability of sulphur compounds and low permeability of other hydrocarbons. In this work, several membranes based on the poly(ether imide) were tested for the sulphur organic compounds removal from the n-heptane. The membrane separation properties were measured for various concentrations of thiophene in heptane. It was found that increase of the amount of thiophene increases the flux of both thiophene and n-heptane. As the increase of the flux of the n-heptane was higher that the increase of the flux of the thiophene, the selectivity of the polyimide based membrane decreases with the increased concentration of thiophene in the feed. The possible reason is increased mobility of the polymer chains in the active layer.
Graphene oxide composite fibres for therapeutic fabrics
Authors: Leese Hannah S , Durailingam Maveendra , Roffe Theo , Atri Ria 
Published: July 2021

Abstract
Topical administration of various therapeutic factors at different stages of healing has the potential to enhance wound healing rates and reduce pain of chronic wounds. Here, the potential of utilising therapeutic fibres as wound dressings and/or sutures, is demonstrated by wet-spinning graphene oxide (GO) and aspirin adsorbed GO with polyvinyl alcohol, into drug eluting composite fibres. By varying the load of GO in the composite fibres it was possible to tailor strength, stiffness and stretchability. GO loadings of 5 wt.% resulted in fibres five times stronger than polyvinyl alcohol alone. Low loadings of GO 0.2–0.4 wt.% produced super-stretchable fibres. The drug loaded composite fibres exhibited a slow release of aspirin over a period of 3 d which is attributed to the π–π interactions between the GO and aspirin. These composite fibres demonstrate promise for incorporating other biological factors using GO as a vector, as well as creating textiles that can deliver therapeutics in a sustained manner, leading to flexible wearable therapeutics and sutures in the future.
Genetic mechanisms of COVID-19 and its association with smoking and alcohol consumption
Authors: Rao Shuquan , Baranova Ancha , Cao Hongbao , Chen Jiu , Zhang Xiangrong , Zhang Fuquan 
Published: July 2021

Abstract
We aimed to investigate the genetic mechanisms associated with coronavirus disease of 2019 (COVID-19) outcomes in the host and to evaluate the possible associations between smoking and drinking behavior and three COVID-19 outcomes: severe COVID-19, hospitalized COVID-19 and COVID-19 infection. We described the genomic loci and risk genes associated with the COVID-19 outcomes, followed by functional analyses of the risk genes. Then, a summary data-based Mendelian randomization (SMR) analysis, and a transcriptome-wide association study (TWAS) were performed for the severe COVID-19 dataset. A two-sample Mendelian randomization (MR) analysis was used to evaluate the causal associations between various measures of smoking and alcohol consumption and the COVID-19 outcomes. A total of 26 protein-coding genes, enriched in chemokine binding, cytokine binding and senescence-related functions, were associated with either severe COVID-19 or hospitalized COVID-19. The SMR and the TWAS analyses highlighted functional implications of some GWAS hits and identified seven novel genes for severe COVID-19, including CCR5, CCR5AS, IL10RB, TAC4, RMI1 and TNFSF15, some of which are targets of approved or experimental drugs. According to our studies, increasing consumption of cigarettes per day by 1 standard deviation is related to a 2.3-fold increase in susceptibility to severe COVID-19 and a 1.6-fold increase in COVID-19-induced hospitalization. Contrarily, no significant links were found between alcohol consumption or binary smoking status and COVID-19 outcomes. Our study revealed some novel COVID-19 related genes and suggested that genetic liability to smoking may quantitatively contribute to an increased risk for a severe course of COVID-19.