Reactive oxygen or nitrogen species play an integral role in both myocardial injury and repair. This dichotomy is differentiated at the level of species type, amount and duration of free radical ...generated. Homeostatic mechanisms designed to prevent free radical generation in the first instance, scavenge, or enzymatically convert them to less toxic forms and water, playing crucial roles in the maintenance of cellular structure and function. The outcome between functional recovery and dysfunction is dependent upon the inherent ability of these homeostatic antioxidant defences to withstand acute free radical generation, in the order of seconds to minutes. Alternatively, pre‐existent antioxidant capacity (from intracellular and extracellular sources) may regulate the degree of free radical generation. This converts reactive oxygen and nitrogen species to the role of second messenger involved in cell signalling. The adaptive capacity of the cell is altered by the balance between death or survival signal converging at the level of the mitochondria, with distinct pathophysiological consequences that extends the period of injury from hours to days and weeks. Hyperglycaemia, hyperlipidaemia and insulin resistance enhance oxidative stress in the diabetic myocardium that cannot adapt to ischaemia–reperfusion. Altered glucose flux, mitochondrial derangements and nitric oxide synthase uncoupling in the presence of decreased antioxidant defence and impaired prosurvival cell signalling may render the diabetic myocardium more vulnerable to injury, remodelling and heart failure.
Because of the rapid change in economic development and lifestyle in China, and the ageing population, concerns have grown that chronic obstructive pulmonary disease (COPD) could become epidemic. An ...up-to-date nationwide estimation of COPD prevalence in China is needed.
We did a cross-sectional survey of a nationally representative sample of individuals from mainland China aged 40 years or older. The primary outcome was COPD, defined according to the 2017 Global Initiative for Chronic Obstructive Lung Disease (GOLD) lung function criteria.
Between Dec 29, 2014, and Dec 31, 2015, 66 752 adults were recruited to the study population. The estimated standardised prevalence of COPD was 13·6% (95% CI 12·0-15·2). The prevalence of COPD differed significantly between men and women (19·0%, 95% CI 16·9-21·2 vs 8·1%, 6·8-9·3; p<0·0001), mainly because of a significant difference in smoking status between men and women (current smokers 58·2% vs 4·0%). The prevalence of COPD differed by geographic region, with the highest prevalence in southwest China (20·2%, 95% CI 14·7-25·8) and the lowest in central China (10·2%, 8·2-12·2). Among adults with COPD, 56·4% (95% CI 53·7-59·2) had mild disease (GOLD stage I), 36·3% (34·3-38·3) had moderate disease (GOLD stage II), 6·5% (5·5-7·4) had severe disease (GOLD stage III), and 0·9% (0·6-1·1) had very severe disease (GOLD stage IV).
In a large, nationally representative sample of adults aged 40 years or older, the estimated overall prevalence of COPD in China in 2014-15 was 13·6%, indicating that this disease has become a major public-health problem. Strategies aimed at prevention and treatment of COPD are needed urgently.
Chinese Central Government, the Ministry of Science and Technology of The People's Republic of China, and the National Natural Science Foundation of China.
Most state-of-the-art biomedical entity normalization systems, such as rule-based systems, merely rely on morphological information of entity mentions, but rarely consider their semantic information. ...In this paper, we introduce a novel convolutional neural network (CNN) architecture that regards biomedical entity normalization as a ranking problem and benefits from semantic information of biomedical entities.
The CNN-based ranking method first generates candidates using handcrafted rules, and then ranks the candidates according to their semantic information modeled by CNN as well as their morphological information. Experiments on two benchmark datasets for biomedical entity normalization show that our proposed CNN-based ranking method outperforms traditional rule-based method with state-of-the-art performance.
We propose a CNN architecture that regards biomedical entity normalization as a ranking problem. Comparison results show that semantic information is beneficial to biomedical entity normalization and can be well combined with morphological information in our CNN architecture for further improvement.
Multiteam digital creativity (MTDC) is a new domain of creativity study that fits the new developments of the digital era, thus scholars have called for exploring MTDC in the fine-graining phase. ...This paper responds to this call, and adopts two studies and cross-validation analysis to explore the theoretical framework of the impact factors of MTDC in the transition phase. Study 1 adopts the qualitative analysis method of rooted theory to explore a more comprehensive impact factor and to maximize the new theory's saturation. Study 2 adopts the CL-WG DEMATEL method, one analysis method of group decision-making and optimized concept lattice, which could cross-validation analyze the results of Study 1 and further determine the importance of the factors. The results of the studies indicate that the influencing factors of MTDC are multilevel, and the factors such as the organizational digital climate, team psychological empowerment, individual digital cognition and emotion, and leadership competence have greater impacts on MTDC. This indicates that the transition phase has a unique internal mechanism. This paper constructs a theoretical framework of factors influencing MTDC in the transition phase and provides new theoretical and practical references for how organizations could fully stimulate MTDC in the digital era. In addition, the cross-validated analytical method further enriches the study tools in the domain of organizational behavior.
Most existing Path-Following Algorithms (PFAs) are developed for single-unit vehicles (SUVs) and rarely for articulated vehicles (AVs). Since these PFAs ignore the motion of the trailer, they may ...cause large tracking deviations and ride stability issues when cornering. To this end, an Adaptive Articulation Angle Preview-based Path-Following Algorithm (AAAP-PFA) is proposed for AVs. Different from previous PFAs, in this model, a simple linear vehicle dynamics model is used as the prediction model, and an offset distance calculated by an articulation angle is used as part of the preview distance. An adaptive posture control strategy is designed to trade off the trajectory tracking performance and lateral stability performance during the path-following process. Considering a large prediction mismatch caused by using a linear vehicle dynamics model, a feedback correction method is proposed to improve the robustness of the steering control. In the comparison simulation experiment with SUV-PFA, it is confirmed that the novel PFA has better adaptability to the contradictory relationship between tracking performance and lateral stability and has strong steering control robustness.
Abstract
The rotational hydraulic damper has advantages in the design and control of rotational machines. This paper presents a novel hydraulic rotational damper with the characteristic of adjusting ...the damping coefficient. It is composed of a shell, a gap, a rotor shaft, sliding vanes, a valve, and a motor, just like a combination of a sliding pump system and a valve driven by a motor. A new cam ring slot designed to guide the radial motion of sliding vanes could reduce friction resistance force, which will also benefit the design of the sliding pump. The damping coefficient model of this damper is established based on dynamic analysis. Series of numerical simulations validate the impact of factors on the damping coefficient. Frictional resistances have little influence on the damping coefficient during most conditions. The total coefficient is positively correlative with the angular velocity and the valve angle. Therefore, changing the valve angle according to the rotor shaft’s angular speed could adjust the damping coefficient.
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•Prodrug and nanotechnology strategies were investigated in this study.•GSH-responsive and pH-responsive cisplatin prodrug was synthesized.•Cisplatin prodrug and paclitaxel co-loaded ...nanoparticles were constructed.•DDP-P/PTX NPs could be applied as promising anticancer system.
Platinum-based combination therapy is more effective and less toxic, but lack of targeting, and is not capable to enrich in the tumor zone. To obstacle these drawbacks, prodrug and nanotechnology strategies have been investigated in this study. GSH-responsive and pH-responsive cisplatin prodrug was synthesized. Cisplatin prodrug and paclitaxel co-loaded nanoparticles: DDP-P/PTX NPs were constructed. The drug release behavior and cytotoxicity of nanoparticles was assessed in vitro. In vivo anticancer efficiency and toxicity were evaluated on lung cancer bearing mice animal model. DDP-P/PTX NPs had a nanoscale size of 112.9 ± 3.5 nm. A reduction and pH triggered drug release with a synergistic tumor cell inhibition ability was observed by DDP-P/PTX NPs. DDP-P/PTX NPs also exhibited high tumor distribution, low systemic toxicity and remarkable antitumor effects in vivo. DDP-P/PTX NPs could be applied as promising anticancer system for the treatment of NSCLC.
At present, "Belt and Road" ("B&R") member states (accounting for about 61.78% of the world's population) face different types of cancer threats to varying degrees. We analyzed the incidence and ...mortality and risk factors of cancer in the member countries of the "B&R" to explore the basis of health and medical cooperation between countries and provide a foundation for formulating cancer prevention and control policies for building a healthy "B&R."
Data were derived from the Global Cancer Observatory and Cancer Country Profiles in 2020. Incidence and mortality were age-standardized rates (ASRs). Population attributable fractions (PAFs) was applied to measure risk factors of cancers in the "B&R" countries. The mortality-to-incidence ratio (MIR) was calculated by dividing the mortality rate by the incidence rate.
A total of 26 cancers were included in the study. Lung, breast, colorectal, stomach, liver, prostate, cervical, esophageal, thyroid, and uterine cancers were the most common and highest in age-standardized mortality in the "B&R" countries. For men, Hungary had the highest cancer age-standardized incidence and mortality (ASR, 289.3 per 100,000 and ASR, 235.7 per 100,000, respectively), followed by Latvia (ASR, 288.6 per 100,000 and ASR, 196.5 per 100,000, respectively). In females, the highest incidence rates were estimated in Greece (ASR, 238.7 per 100,000), and the highest mortality rate was Brunei (ASR, 192.3 per 100,000). All countries were in the middle or high HDI range, with about half (46.88%) of countries achieving high HDI, mostly in Central and Eastern Europe (13 countries) and West Asia (10 countries). The United Arab Emirates had the highest MIR in male and female (1.59 vs 2.19). Tobacco products, infectious factors, and ultraviolet rays were the three main cancer risk factors in the "B&R" countries.
The overall burden of cancer in the countries along the "B&R" remains substantial, while the corresponding cancer prevention and control policies need to be improved. Strengthening health cooperation among member countries will contribute to a joint response to the risks and challenges posed by cancer.
Based on multiteam system (MTS) theory and creativity theory, this study explores the influencing factor model of multiteam digital creativity (MTDC) in the action phase through two cross-validation ...studies, filling a theoretical gap and responding to the research call. Study 1 is a qualitative analysis method to fully explore the relevant influencing factors and enhance the theoretical saturation. Study 2 is an optimized DEMATEL method, known as the CL-WG DEMATEL analysis method, which cross-validates the new theoretical model and measures the centrality of the influencing factors. This study finds that the influence factor model of MTDC has eight major factors and distributes in four different levels. Further analysis shows that the three influences (team digital ability, multiteam digital sharing, and organizational digital resource matching) with the highest centrality of impact on MTDC all belong to the collective level, which indicates the uniqueness of the action phase of the performance episodes. The two cross-validation studies enhance the scientific validity of the new theoretical exploration. In addition, Theoretical and practical implications of the results are presented, and future directions for research are discussed.