The effects of big five personality traits on sub-health in a Chinese young adults: A moderated mediation model.

BACKGROUND: Sub-health can have an impact on the physical condition of the young adults, and this study aimed to investigate the influencing factors of sub-health related to the Big Five personality in Chinese young adults. METHODS: A multi-stage random sampling method was used to survey the Chinese young adults. A moderated mediation analysis was conducted to investigate how sleep quality and family health influenced the relationship between diverse personalities and sub-health in young adults. RESULTS: A total of 6165 young adults were included in this study. The results of the mediation analysis indicated that sleep quality partially mediated the relationship between neurotic, extraversion, agreeableness, and conscientiousness of young adults and sub-health. Family health played a moderating role between the sleep quality and agreeableness of young adults. LIMITATIONS: The cross-sectional study limits conclusions about causal relationships between factors. CONCLUSION: Family health and sleep quality can influence sub-health in Chinese young adults with different personality traits.

Atmospheric deposition and river runoff stimulate the utilization of dissolved organic phosphorus in coastal seas.

In coastal seas, the role of atmospheric deposition and river runoff in dissolved organic phosphorus (DOP) utilization is not well understood. Here, we address this knowledge gap by combining microcosm experiments with a global approach considering the relationship between the activity of alkaline phosphatases and changes in phytoplankton biomass in relation to the concentration of dissolved inorganic phosphorus (DIP). Our results suggest that the addition of aerosols and riverine water stimulate the biological utilization of DOP in coastal seas primarily by depleting DIP due to increasing nitrogen concentrations, which enhances phytoplankton growth. This "Anthropogenic Nitrogen Pump" was therefore identified to make DOP an important source of phosphorus for phytoplankton in coastal seas but only when the ratio of chlorophyll a to DIP [Log10 (Chl a / DIP)] is larger than 1.20. Our study therefore suggests that anthropogenic nitrogen input might contribute to the phosphorus cycle in coastal seas.

Interface Characteristics of Tungsten-Particle-Reinforced Zr-Based Bulk-Metallic-Glass Composites with Different Tungsten Particle Sizes.

This study investigated the interfacial characteristics of tungsten-particle-reinforced Zr-based bulk-metallic-glass composites (Wp/Zr-BMGs) with varying tungsten-particle sizes. To this end, Wp/Zr-BMGs with three different Wp sizes were fabricated using spark plasma sintering. Subsequently, the microstructures and interfacial structures of the Wp/Zr-BMGs were extensively examined, and the mechanical properties of the microzone at the Wp/Zr-BMG interface were evaluated using a nanoindentation method. The results revealed that the interfaces of Wp/Zr-BMGs, irrespective of the Wp size, exhibited dissolution-diffusion characteristics. Moreover, the thickness of the interface diffusion layer was positively correlated to the size of Wp. The addition of Wp enhanced the elastic modulus and hardness of Zr-BMGs at the interface, as these effects are inversely related to the Wp size. Furthermore, this study established a relationship between the interfacial mechanical properties and the interfacial characteristics of particle-reinforced bulk-metallic-glass composites. Thus, this study can serve as a guide for future research in the field of Wp/Zr-BMGs and similar particle-reinforced composites.

Anxiety-associated factors among employees with different personality profiles: a cross-sectional study in China.

Introduction: Anxiety not only harms employees' work efficiency and satisfaction but also presents as a hazard to their mental health. This study aimed to investigate the prevalence of anxiety among Chinese employees, identify their personality profiles and explore the anxiety-related factors in different personality profiles. Methods: This national investigation adopted the multistage random sampling method to recruit employees. A total of 3,875 employees were enrolled in this study, and 39.1% (1,515/3,875) of them were experiencing anxiety at the time of the study. Latent profile analysis (LPA) was conducted to identify personality subgroups among Chinese employees based on their BFI-10 scores. Results: LPA identified a three-profile solution among Chinese employees: average, resilient, and introverted. Employees in the resilient profile had the lowest anxiety rate (16.1%, 132/822), and those in the average profile had the highest rate (46.8%, 1,166/2,494). Multivariate analysis results showed that for all personality profiles, self-efficacy was positively associated with anxiety, and work-family conflict was negatively associated with anxiety. High levels of perceived social support and self-efficacy reduced the risk of anxiety and higher work-family conflict and no partner increased the odds of anxiety in the average profile. For the introverted profile, female gender, and living in a city increased the chances of suffering from anxiety. Discussion: This study identified that each personality profile of Chinese employees had its own set of factors associated with anxiety, which could facilitate employers to provide targeted interventions to alleviate employees' anxiety.

In-silico evaluation of an artificial pancreas achieving automatic glycemic control in patients with type 1 diabetes.

Artificial pancreas (AP) is a useful tool for maintaining the blood glucose (BG) of patients with type 1 diabetes (T1D) within the euglycemic range. An intelligent controller has been developed based on general predictive control (GPC) for AP. This controller exhibits good performance with the UVA/Padova T1D mellitus simulator approved by the US Food and Drug Administration. In this work, the GPC controller was further evaluated under strict conditions, including a pump with noise and error, a CGM sensor with noise and error, a high carbohydrate intake, and a large population of 100 in-silico subjects. Test results showed that the subjects are in high risk for hypoglycemia. Thus, an insulin on board (IOB) calculator, as well as an adaptive control weighting parameter (AW) strategy, was introduced. The percentage of time spent in euglycemic range of the in-silico subjects was 86.0% ± 5.8%, and the patient group had a low risk of hypoglycemia with the GPC+IOB+AW controller. Moreover, the proposed AW strategy is more effective in hypoglycemia prevention and does not require any personalized data compared with the IOB calculator. Thus, the proposed controller realized an automatic control of the BG of patients with T1D without meal announcements and complex user interaction.

The multiple mediating effect of family health and perceived social support on depressive symptoms in older adults: A cross-sectional national survey in China.

BACKGROUND: Depression harms older adults' physical health and quality of life, especially for those with disabilities. This study aims to investigate the epidemiological characteristics of depressive symptoms in older adults and influencing factors involving neuroticism in China. METHODS: A multistage random sampling method was adopted to recruit older adults. We conducted a multiple mediating analysis to explore how overall family health and perceived social support affect the relationship between neuroticism and depressive symptoms in older adults. RESULTS: A total of 1122 older adults were included in this study, and 529 individuals reported suffering from depressive symptoms (47.1 %). Mediation analysis results indicated that neuroticism had a direct predictive effect on depressive symptoms in older adults. Family health and perceived social support partly mediated the relationship between neuroticism and depressive symptoms in older adults. Moreover, depressive symptoms in older adults with high neuroticism was directly affected by decreasing family health and indirectly and cumulatively aggravated by the mediation of lower perceived social support. LIMITATIONS: The cross-sectional study design limits the conclusion about causation and directionality. CONCLUSIONS: Family health and perceived social support can prevent depressive symptoms in older adults with high neuroticism.

Construction of the health risk assessment index system for assessing the chronic diseases based on the general health.

Aims: This study aimed to construct a standardized health risk assessment index system (HRAIS) under the guidance of general health and facilitate the family doctors to carry out chronic disease management. Methods: Available chronic disease surveillance systems and indexes were reviewed to identify potential indexes. The Delphi method was performed to establish the HRAIS, and the analytic hierarchy process was used to calculate the index weight. Results: HRAIS included four first-level indexes and 38 second-level indexes. The authority coefficient was 0.86. The Kendall's W for the two rounds of Delphi consultation were 0.202 and 0.210 (p < 0.001). The weights of the first-level indexes from high to low were physiological health (0.409), psychosocial health (0.290), health-related behaviors (0.205), and environment (0.097). Thus, HRAIS is a multi-dimension and multi-index tool, which can be used as a guideline for family doctors in early screening, early intervention, and classified management of main chronic diseases.

Spatiotemporal distribution characteristics of PM2.5 concentration in China from 2000 to 2018 and its impact on population.

PM2.5 is an important indicator reflecting changes in air quality. In recent years, affected by climate change and human activities, the problem of environmental pollution has become more and more prominent. In this study, the PM2.5 data from 2000 to 2018 obtained by satellite remote sensing inversion algorithm were selected to analyze the temporal and spatial distribution of PM2.5 in China. The results show that the areas with higher PM2.5 concentrations were mainly in the North China, the Sichuan Basin, and the Tarim Basin. The areas with a significant increase in PM2.5 were mainly in the Northeast China, while the areas with a significant decrease were mainly in the Sichuan Basin and southeastern Gansu. The change of PM2.5 in southern China was not significantly correlated with the change of population and economy, while PM2.5 in Northeast China increases with the increase of population and economy. In 2000, 2005, 2010, and 2015, the proportion of the population polluted by PM2.5 was 8.65%, 7.2%, 22.99%, and 9.75%, respectively. The year with the highest percentage (37.63%) of population when air quality reached EXCELLENT was 2015. When the PM2.5 spatial cluster number was six, it can better reflect the PM2.5 spatial distribution state. The places with large changes in PM2.5 spatial clustering were mainly in the Northeast China, Sichuan Basin, and Tarim Basin, which were also areas with large changes in PM2.5. This study provides an important reference for atmospheric environmental monitoring and protection.

Influence and prediction of PM2.5 through multiple environmental variables in China.

Fine particulate matter (PM2.5) is an important indicator to measure the degree of air pollution. With the pursuit of sustainable development of China's economy and society, air pollution has been paid more and more attention. The spatial distribution of PM2.5 is affected by multiple factors. In this study, we selected Normalized Difference Vegetation Index (NDVI), precipitation, temperature, wind speed and elevation data to analyze the impact of each variable on PM2.5 in different regions of China. The results show that the high-value areas of PM2.5 were mainly concentrated in the North China Plain, the middle and lower reaches of the Yangtze River Plain, the Sichuan Basin, and the Tarim Basin. PM2.5 showed an upward trend in North China, Northeast China and Northwest China, while in most of South China, especially the Sichuan Basin, PM2.5 showed a downward trend. Therefore, the northern region of China needs to take measures to curb the growth of PM2.5. In Northwest China, wind speed and temperature had a greater impact on PM2.5. In North China, wind speed had a greater impact on PM2.5. In southern China, temperature and NDVI had a greater impact on PM2.5. The deep learning model can better simulate the spatial distribution of PM2.5 based on the selected variables. The clustering effect of single variable is better than multivariate spatial information clustering based on principal component analysis (PCA). It is difficult to explain which variable has the greatest impact on PCA clustering. This study can provide an important reference for PM2.5 prevention and control in different regions of China.

Quality assessment of clinical practice guidelines on psychological distress of cancer patients using the AGREE II instrument.

Objective: This study aimed to assess the quality of the clinical practice guidelines on psychological distress among cancer patients and provide users with recommendations for coping with psychological distress. Methods: A systematic search of relevant clinical practice guidelines was undertaken to identify and select the clinical practice guidelines related to psychological distress among cancer patients. Literature databases were searched in PubMed, Web of Science, Excerpta Medica Database, the Cumulative Index to Nursing & Allied Health Literature, China Biology Medicine, China National Knowledge Infrastructure, WanFang and Weipu Journal Database. The guideline databases include Yimaitong Guidelines Network, National Guideline Clearinghouse, National Institute for Health and Clinical Excellence, American Society of Clinical Oncology (ASCO), New Zealand Guidelines Group, Scottish Intercollegiate GuidelinesNetwork, American Psychological Association, Registered Nurses' Association of Ontario and Cancer Care Ontario (CCO). Four independent reviewers assessed the eligible guidelines using the Appraisal of Guidelines for Research and Evaluation (AGREE II) instrument. Results: Six clinical practice guidelines were included and assessed for critical evaluation. The median score for the scope and purpose domain was 71.5% (IQR 64%-77.25%), the stakeholder involvement domain was 65% (IQR 47.5%-74.5%), the rigour of the development domain was 61.5% (IQR 45.5%-85.25%), the clarity of the presentation domain was 91% (IQR 72.25%-94.5%), the applicability domain was 70% (IQR 33%-78.75%), and the editorial independence domain was 48.84% (IQR 61.75%-95%). Four guidelines (ASCO, 2014; Canadian Association of Psychosocial Oncology, 2015; NCCN, 2020, and CCO, 2016) were classified as "recommended," and the remaining (European Palliative Care Research Collaborative and Chinese Psychosocial Oncology Society) were "recommended with modifications," especially in the domains of Stakeholder involvement, rigour of development, and applicability. The inter-rater consistency of each domain showed moderate level (0.52-0.90) analyzing by intraclass correlation. Conclusions: The clinical practice guidelines on psychological distress among cancer patients varied in quality, and there were discrepancies in terms of the recommendations and recommendation grades. These findings could contribute to improving the quality of clinical practice guidelines on psychological distress, and enable the development and implementation of evidence-based guidelines for cancer patients. Systematic Review Registration: https://www.crd.york.ac.uk/PROSPERO, identifier CRD42020209204.

Effect of Anthropogenic Aerosol Addition on Phytoplankton Growth in Coastal Waters: Role of Enhanced Phosphorus Bioavailability.

Atmospheric deposition can supply nutrients to induce varying responses of phytoplankton of different sizes in the upper ocean. Here, we collected surface and subsurface chlorophyll a maximum (SCM) seawaters from the Yellow Sea and East China Sea to conduct a series of onboard incubation experiments, aiming to explore the impact of anthropogenic aerosol (AR, sampled in Qingdao, a coastal city in Northern China) addition on phytoplankton growth using schemes with (unfiltered seawater, UFS) and without (filtered seawater, FS) microsized (20-200 µm) cells. We found that AR addition stimulated phytoplankton growth obviously, as indicated by chlorophyll a (Chl a) in surface incubations, and had stimulatory or no effects in SCM incubations, which was related to nutrient statuses in seawater. The high ratio of nitrogen (N) to phosphorus (P) in the AR treatments demonstrated that P became the primary limiting nutrient. The alkaline phosphatase activity (APA), which can reflect the rate at which dissolved organic P (DOP) is converted into dissolved inorganic P, was 1.3-75.5 times higher in the AR treatments than in the control, suggesting that AR addition increased P bioavailability in the incubated seawater. Dinoflagellates with the capacity to utilize DOP showed the dominant growth in the AR treatments, corresponding to the shift in phytoplankton size structure toward larger cells. Surprisingly, we found that nanosized (2-20 µm) and picosized (0.2-2 µm) Chl a concentrations in UFS were generally higher than those in FS. The APA in UFS was at least 1.6 times higher than in FS and was proportional to the contribution of microsized cells to the total Chl a, suggesting that microsized cells play an important role in the increase in APA, which contributes to the growth of nanosized and picosized phytoplankton. Current work provides new insight into the increase of P bioavailability induced by atmospheric deposition and resultant ecological effect in coastal waters.

Antimicrobial Peptides and Macromolecules for Combating Microbial Infections: From Agents to Interfaces.

Bacterial resistance caused by the overuse of antibiotics and the shelter of biofilms has evolved into a global health crisis, which drives researchers to continuously explore antimicrobial molecules and strategies to fight against drug-resistant bacteria and biofilm-associated infections. Cationic antimicrobial peptides (AMPs) are considered to be a category of potential alternative for antibiotics owing to their excellent bactericidal potency and lesser likelihood of inducing drug resistance through their distinctive antimicrobial mechanisms. In this review, the hitherto reported plentiful action modes of AMPs are systematically classified into 15 types and three categories (membrane destructive, nondestructive membrane disturbance, and intracellular targeting mechanisms). Besides natural AMPs, cationic polypeptides, synthetic polymers, and biopolymers enable to achieve tunable antimicrobial properties by optimizing their structures. Subsequently, the applications of these cationic antimicrobial agents at the biointerface as contact-active surface coatings and multifunctional wound dressings are also emphasized here. At last, we provide our perspectives on the development of clinically significant cationic antimicrobials and related challenges in the translation of these materials.

Titanium dioxide nanotubes as drug carriers for infection control and osteogenesis of bone implants.

Titanium implants have been widely used as one of the most effective treatments of bone defects. However, the lack of osteogenesis and bacteria-resistant activities result in high infection and loosening rates of titanium implants. Anodic oxidation could easily construct titanium dioxide nanotubes (TNTs) array on the surface of titanium, and the rough surface of TNTs is beneficial to the growth of osteoblast-related cells on the surface. And TNTs could be excellent drug carriers because of their single-entry tubular hollow structure. In this review, we aim at detailing the application of TNTs as drug carriers in the field of bone implants. Starting from the topography of TNTs, we illustrated the biological activity of the TNTs surface, the drugs for loading in TNTs, and the controlled and responsive release strategies of drug-loaded TNTs, respectively. At the end of this review, the shortcomings of TNTs as the drug carrier in the field of bone implants are discussed, and the development direction of this research field is also prospected.

Investigating the Role of the N-Terminal Loop of PD-1 in Binding Process Between PD-1 and Nivolumab via Molecular Dynamics Simulation.

The blockade of immune checkpoints, such as programmed death receptor 1 (PD-1) and programmed death ligand 1 protein (PD-L1), is a promising therapeutic approach in cancer immunotherapy. Nivolumab, a humanized IgG4 antibody targeting PD-1, was approved by the US Food and Drug Administration for several cancers in 2014. Crystal structures of the nivolumab/PD-1 complex show that the epitope of PD-1 locates at the IgV domain (including the FG and BC loops) and the N-terminal loop. Although the N-terminal loop of PD-1 has been shown to play a dominant role in the complex interface of the static structure, its role in the dynamic binding process has not been illustrated clearly. Here, eight molecular systems were established for nivolumab/PD-1 complex, and long-time molecular dynamics simulations were performed for each. Results showed that the N-terminal loop of PD-1 prefers to bind with nivolumab to stabilize the interface between IgV and nivolumab. Furthermore, the binding of the N-terminal loop with nivolumab induces the rebinding between the IgV domain and nivolumab. Thus, we proposed a two-step binding model for the nivolumab/PD-1 binding, where the interface switches to a high-affinity state with the help of the N-terminal loop. This finding suggests that the N-terminal loop of PD-1 might be a potential target for anti-PD-1 antibody design, which could serve as an important gatekeeper for the anti-PD-1 antibody binding.

Improved Generalized Predictive Control Algorithm for Blood Glucose Control of Type 1 Diabetes.

Artificial pancreas (AP) is an important treatment for patients with Type 1 diabetes (T1D). The control algorithm adopted in an AP system determines its reliability and accuracy. The generalized predictive control (GPC) is a representative adaptive control algorithm and has been widely applied to AP systems. However, we found that the traditional GPC controller does not work well for adolescents with T1D because of their high-fluctuating blood glucose and high insulin resistance. Here, we propose an improved GPC algorithm with an adaptive reference glucose trajectory and an adaptive softening factor. The slopes of the reference trajectory and the value of softening factor are calculated real-time on the basis of the blood glucose concentration (BGC) variations. In silico testing was done using the US Food and Drug Administration (FDA) approved virtual patient software T1D mellitus. The BGC trace and density of 20 patient-subjects (10 adults and 10 adolescents) were recorded. Results showed that the average BGC percentage within the target regions (70-180 mg/dL) of the tests with adaptive reference glucose trajectory and softening factor for adolescents (0.93 ± 0.07) was significantly higher than that of the traditional GPC algorithm tests (0.88 ± 0.11), suggesting that the control quality of the blood glucose of adolescents is significantly improved with our GPC algorithm. Therefore, our improved GPC controller is effective and should have a good applicability in AP systems.

Highly sensitive detection of glucose: A quantitative approach employing nanorods assembled plasmonic substrate.

Sensitive glucose detection enables indirect blood glucose sensing through easily accessible biofluids such as saliva and sweat. In this work, silver coated gold nanorods (Au@Ag NRs) were synthesized and used to prepare plasmonic substrate for surface-enhanced Raman spectroscopy (SERS) to leverage highly sensitive detection of glucose for quantitative analysis. By synthetically manipulating of gold NRs and the outer silver shell, the size and aspect ratio of Au@Ag NRs were optimized, and the plasmon resonance wavelength was tuned to approximately the excitation wavelength. 4-Mercaptophenyl-boronic acid (4-MPBA) and 4-Cyanophenylboronic acid (4-CPBA) were used as primary and secondary receptors respectively to specifically capture glucose molecules. The distinct Raman peak at 2226cm-1 of the cyano group in 4-CPBA was used as a signal reporter for glucose sensing. It is located in a biological silent region (1800-2800cm-1), thus offering specific sensing of glucose, without the interference of other endogenous molecules. Our results showed that the SERS substrate was long-term stable. Glucose in urine solution with additive glucose was quantitatively and specifically determined, with the detection limit down to 10-8M. Further experiments using urine from mild diabetes shows positive results, demonstrating the feasibility of clinical use.

Survey of soy protein flour as a novel dry strength agent for papermaking furnishes.

A series of experiments were conducted on recycled pulp samples for the novel purpose of determining the efficacy of employing soy protein flour to increase the strength of dry paper. Values of short span compression and tensile strength were the prime criteria for comparison based on industrial considerations. Various conditions were considered to uncover effective schemes for applying the soy proteins under industrial-like papermaking conditions including alkaline versus acidic as well as high or low ionic content papermaking conditions. A hybrid system of starch, a dry strength additive currently used in paper furnishes, and soy protein was considered to study the possible existence of any synergistic chemical effects. Results indicated that a 1 part (by mass) soy protein to 3 parts cationic starch hybrid system resulted in the highest strength increase in comparison to solely either the soy protein or the cationic starch as dry strength additives.

[Genetic algorithm-based dose optimization in intensity modulated radiation therapy].

As a powerful global optimization approach, genetic algorithms (GA) can solve a variety of optimization problems in which the objective function is discontinuous, non-differentiable, or highly non-linear, to produce high convergence speed and vast search space. In this thesis, GA is used to optimize the beam weights of intensity modulated radiation therapy (IMRT) inverse planning, and 2D and 3D isodose contour as well as dose volume histogram (DVH) are used to evaluate the treatment plan. Also presented in this thesis are the results of calculation with discussions.

[A new method for static intensity-modulated radiation therapy].

OBJECTIVE: To develop a new method for static intensity-modulated radiation therapy (IMRT) possible for implementation in smaller hospitals by incorporating accurate location equipments and treatment planning system in the available equipments for general radiotherapy. METHODS: Based on the techniques of conformal radiotherapy, a new split method for fabricating the three-dimensional physical compensator was developed to achieve IMRT. RESULTS: Experiment with the new method showed that the fabricated compensator could achieve good match between the high dosage shape in the target area and the dimensions of the tumor, and allowed adjustment of the dosage distribution according to the therapeutic requirement. CONCLUSION: This simple and feasible method allows cost-effect application of IMRT in smaller hospitals.