Picophytoplankton size and biomass around equatorial eastern Indian Ocean

The cellular size and biomass of picophytoplankton were studied by flow cytometer during spring monsoon (March-May of 2015) in equatorial eastern Indian Ocean. We established an empirical relationship between forward scatter and cellular size to address the size and biomass of picophytoplankton. Results indicated that mean cell diameter of Prochlorococcus (0.60 mu m) was the smallest, and then followed by Synechococcus (0.98 mu m) and picoeukaryotic phytoplankton (1.05 mu m). Thereafter, the biomass converted by abundance reached 0.64 mu g center dot C center dot L-1 for Prochlorococcus, 0.34 mu g center dot C center dot L-1 for Synechococcus, and 0.20 mu g center dot C center dot L-1 for picoeukaryotic phytoplankton. Additionally, the distinct biomass contribution of picophytoplankton appeared to be affected by abundance, but not changes in cellular size. Vertically, the cellular sizes of picophytoplankton were remarkably small in upper waters, which was predominantly controlled by the nutrient availability. In contrast, they were larger in deeper waters, which was primarily attributed to the combined effects of low temperature and reduced light availability. Spatially, under the influence of high nutrient concentration induced by the different circulations and coastal upwelling, slightly high carbon biomass of picophytoplankton was observed around the coastal zones of Sri Lanka island and Sumatra, as well as the southern Bay of Bengal

Propensity Score Matching Analysis of the Influence of Waiting Time Satisfaction on Community Resident’s Satisfaction With Medical Institutions: An Extensive Survey of Outpatient Population in Shantou City of Southern China

Objective: This study was designed to perform a nuanced analysis of the multifaceted association between community residents’ satisfaction and their perceived satisfaction concerning the visit duration at medical facilities, that could be harnessed to enhance and streamline the process of hierarchical diagnosis and treatment, thereby augmenting healthcare outcomes and patient experiences. Methods: Respondents who had utilized services from medical institutions were invited to fill out questionnaires by scanning QR codes. Additionally, surveys also distributed questionnaires through WeChat groups of community residents in densely populated areas of the community, as well as WeChat groups for patients who had previously visited local hospitals. To balance differences between groups, propensity score matching was applied to analyze the contrast between residents satisfied and dissatisfied with their medical visits. After eliminating the interference of confounding factors, a comparative analysis was conducted on the relationship between resident satisfaction and medical institution experience.After eliminating the interference of confounding factors, a comparative analysis was conducted to delve deeply into the relationship between residents’ satisfaction and their experiences at medical facilities. Results: The study incorporated a large dataset encompassing 2356 community residents. Upon successful propensity score matching, logistic regression analysis elucidated several determinants of overall resident satisfaction. Notably, the grade of the medical institution (χ 2  = 8.226, P  < .05), satisfaction with the time invested in the registration process (χ 2  = 11.04, P  < .05), satisfaction with the waiting duration for consultation (χ 2  = 15.759, P  < .05), and satisfaction with the travel time to the hospital (χ 2  = 45.157, P  < .05) each exerted significant influence on the holistic satisfaction of residents with their medical experience. Conclusion: Factors such as the grade of the medical institution, satisfaction related to registration and waiting durations, and travel time to the hospital emerged as crucial determinants shaping community residents’ holistic satisfaction with their medical encounters. These findings underscore the exigency for strategic allocation and optimization of medical resources, refinement of the classification system, and enhancement of public health education on the graded diagnosis and treatment schema. The study also demonstrates the value of employing advanced propensity score matching and predictive modelling techniques in health services research

The role of context in processing Chinese three-character verb-object metaphors : an event-related potential study

Whether and how context plays a role in metaphor processing remains a controversial issue. One major theory on metaphor comprehension, the graded salience hypothesis (GSH) model, emphasizes salience as the key factor determining the precedence of semantic access. Using event-related potential technique, the present study examined Chinese metaphors to investigate whether the salient meaning is always processed first regardless of context. The experiment employed a Prime-Target-Probe paradigm. Three-character Chinese verb–object metaphors were used as the Target proceeded by one of the three contexts (the Prime): (1) metaphorical context priming the Target’s metaphorical meaning, (2) literal context priming the Target’s literal meaning, and (3) irrelevant context as the control condition. The Target was then followed by the Probe, which was always related to the Target (except in the filler condition). Forty participants were asked to judge whether the Target and the following Probe were semantically related. The N400 elicited by the Target showed no contextual effect. The N400 amplitude elicited by the Probe was smaller in the metaphorical priming condition compared with the literal priming condition, while the N400 in the irrelevant control condition was between the other two conditions, demonstrating a clear context effect. In addition, an unexpected P240 component also showed the similar graded pattern. Our results mostly support the GSH model, indicating that the salient meaning invariantly gets activated first before the activation of the nonsalient meaning at the lexical access stage. However, context does play a role in a parallel way either facilitating or suppressing this interpretation in the latter meaning integration stage

Optimization of the wall thermal insulation characteristics based on the intermittent heating operation

The intermittent heating operation is used widely, but the heating behavior status is always ignored to simplify the energy conservation design in the present optimization of thermal insulation characteristics and then the heating equipment is assumed to run. To optimize wall thermal insulation characteristics under the intermittent heating operation, six typically-employed walls of different thermal insulation forms were built to analyze the effect of thermal insulation forms on thermal response rate and heat flow in the inner surface comparatively. The comparative results showed that the interior insulation wall and the foamed concrete wall were the most suitable for the intermittent heating condition, while the exterior insulation wall and the self-insulation concrete wall would be relatively poor choices. The interior insulation wall and the foamed concrete wall had the highest thermal response rate and the highest surface temperature, 3 °C–10 °C higher than the other insulation wall examined, while they had the lowest values of inner surface heat flows, 26.8%–50.3% less than the other insulation wall. Keywords: Thermal response rate, Inner surface heat flow, Intermittent heating operation, Thermal insulation for

Effects of shade treatments on photosynthetic characteristics, chloroplast ultrastructure, and physiology of Anoectochilus roxburghii.

Anoectochilus roxburghii was grown under different shade treatments-50%, 30%, 20%, and 5% of natural irradiance-to evaluate its photosynthetic characteristics, chloroplast ultrastructure, and physiology. The highest net photosynthetic rates and stomatal conductance were observed under 30% irradiance, followed in descending order by 20%, 5%, and 50% treatments. As irradiance decreased from 50% to 30%, electron transport rate and photochemical quenching increased, while non-photochemical quenching indexes declined. Reductions in irradiance significantly increased Chl a and Chl b contents and decreased Chl a/b ratios. Chloroplast ultrastructure generally displayed the best development in leaves subjected to 30% irradiance. Under 50% irradiance, leaf protein content remained relatively stable during the first 20 days of treatment, and then increased rapidly. The highest peroxidase and superoxide dismutase levels, and the lowest catalase activities, were observed in plants subjected to the 50% irradiance treatment. Soluble sugar and malondialdehyde contents were positively correlated with irradiance levels. Modulation of chloroplast development, accomplished by increasing the number of thylakoids and grana containing photosynthetic pigments, is an important shade tolerance mechanism in A. roxburghii

Oral frailty: a concept analysis

Abstract Background Oral frailty has become a worldwide problem among older adults. Although researchers have conducted various studies on oral frailty, its definition remains controversial. Purpose To clarify the concept of oral frailty. Methods Online databases PubMed, Web of Science, CINAHL, Cochrane Library, ProQuest, China National Knowledge Infrastructure (CNKI), China Science and Technology Journal Database (VIP), and Wanfang database were searched from inception to September 20, 2023. The reference lists of relevant studies were searched manually. Eligible articles, theses, and books were analyzed using Walker & Avant’s concept analysis model. Results The attributes of oral frailty were abnormal oral structure and/or decline in multi-faceted oral function and coexisting decline in physical, cognitive and social functions. Its antecedents were aging, social frailty, and severe periodontitis, whereas its consequences were decline in physical health and mental health, social withdrawal, lower quality of life and systemic frailty. Conclusion Oral frailty could result in worse conditions among older adults physically, psychologically and socially. Tools based on the concept analysis need to be developed to comprehensively assess oral frailty

Activation of P2X7 receptor and NLRP3 inflammasome assembly in hippocampal glial cells mediates chronic stress-induced depressive-like behaviors

Abstract Background In recent years, proinflammatory cytokine interleukin-1β (IL-1β) was considered to play a critical role in the pathogenesis of depression. In addition, P2X7 receptor (P2X7R), a member of the purinergic receptor family, which is predominantly present on microglia, as well as on astrocytes and neurons in lesser amounts in the central nervous system, was suggested to be involved in the processing and releasing of IL-1β. Here, we investigated the role of P2X7R in the pathogenesis of depression. Methods Male Sprague-Dawley rats were subjected to chronic unpredictable stressors (CUS) for 3 weeks. At the end of week 1, 2, and 3, extracellular ATP, caspase 1, IL-1β, and components and activation of NLRP3 inflammasome (nucleotide-binding, leucine-rich repeat, pyrin domain containing 3) were evaluated as biomarker of neuroinflammation. In separate experiments, the rats were microinjected with P2X7R agonists ATP, BzATP, and saline into the hippocampus, respectively, or exposed to CUS combined with hippocampal microinjection with P2X7R antagonist, BBG and A438079, and saline, respectively, for 3 weeks, followed by exposed to forced swimming test and open-field test. Moreover, we also evaluated the depressive and anxiety-like behavior of P2X7-null mice in forced swimming test, open-field test, and elevated plus maze. Results Along with stress accumulation, extracellular ATP, cleaved-caspase 1, IL-1β, and ASC were significantly enhanced in the hippocampus, but P2X7R and NLRP3 were not. Immunoprecipitation assay indicated that along with the accumulation of stress, assembly of NLRP3 inflammasome and cleaved caspase 1 in NLRP3 inflammasome were significantly increased. Moreover, antagonists of P2X7R, either BBG or A438079, prevented the development of depressive-like behaviors induced by chronic unpredictable stress in rats. Meanwhile, we could not observe any depressive-like or anxiety-like behaviors of P2X7-null mice after they had been exposed to CUS. The results implied that P2X7 knockout could impede the development of depressive-like and anxiety-like behaviors induced by CUS. In contrast, chronic administration of agonists of P2X7R, either ATP or BzATP, could induce depressive-like behaviors. Conclusions The activation of P2X7R and subsequent NLRP3 inflammasome in hippocampal microglial cells could mediate depressive-like behaviors, which suggests a new therapeutic target for the prevention and treatment of depression

Revealing the Role of Polaron Distribution on the Performance of n-Type Organic Electrochemical Transistors

Organic electrochemical transistors (OECTs) have shown great potential in bioelectronics and neuromorphic computing. However, the low performance of n-type OECTs impedes the construction of complementary-type circuits for low-power-consumption logic circuits and high-performance sensing. Compared with their p-type counterparts, the low electron mobility of n-type OECT materials is the primary challenge, leading to low μC* and slow response speed. Nevertheless, no successful method has been reported to address the issue. Here, we find that the charge carrier mobility of n-type OECTs can be significantly enhanced by redistributing the polarons on the polymer backbone. As a result, 1 order of magnitude higher electron mobility is achieved in a new polymer, P(gPzDPP-CT2), with a simultaneously enhanced μC* value and faster response speed. This work reveals the important role of polaron distribution in enhancing the performance of n-type OECTs

Fast optimization for betatron radiation from laser wakefield acceleration based on Bayesian optimization

Laser wakefield acceleration, a highly nonlinear process, can provide high-quality electron beams and betatron radiation. However, it has always been a challenge to optimize the photon number of betatron radiation because X-ray production is the secondary process followed by electron generation and many influential parameters are highly coupled with each other. To balance these parameters and optimize target value, we use a machine-learning algorithm called Bayesian optimization that ignores the complicated middle process and so is suitable to solve this kind of problems. Without designed initialization, we optimize betatron radiation in experiments by changing plasma density and laser focal position. The X-ray photon number doubles compared with initial condition within 10 iterations, which shows the rapidity of this algorithm. PIC simulation also illustrates the complexity of the optimization and reveals the reason why X-ray photon number increases