Abstract
The rapid development of wearable, highly integrated, and flexible electronics has stimulated great demand for on-chip and miniaturized energy storage devices. By virtue of their high power ...density and long cycle life, micro-supercapacitors (MSCs), especially those with interdigital structures, have attracted considerable attention. In recent years, tremendous theoretical and experimental explorations have been carried out on the structures and electrode materials of MSCs, aiming to obtain better mechanical and electrochemical properties. The high-performance MSCs can be used in many fields, such as energy storage and medical assistant examination. Here, this review focuses on the recent progress of advanced MSCs in fabrication strategies, structural design, electrode materials design and function, and integrated applications, where typical examples are highlighted and analyzed. Furthermore, the current challenges and future development directions of advanced MSCs are also discussed.
Fluctuations in the output power of photovoltaic (PV) under climate changes such as variations in temperature and radiation is an important challenge for these resources. Therefore, it is very ...important to keep the output power of solar systems constant without any fluctuation at their maximum power point in the event of climate change. The aim of this paper is to suggest a maximum power point tracking (MPPT) method to cancel the output power oscillation of PV systems in severEe weather conditions, especially under radiation and temperature changes. In order to find the optimal parameters of the MPPT controller, the improved shuffled frog-leaping algorithm (ISFLA) and fuzzy controller are used. In addition, to fine-tune the member functions (MFs) of FLC, the combination of the fuzzy logic controller (FLC) and the ISFLA algorithm are employed. The ISFLA is an effective solution to cope with the stochastic behavior of the PV system under changing the radiation and ambient temperature. A storage system is also used to provide more stability and reliability for the system. Simulation results show that the recommended scheme provides excellent tracking efficiency from 98.1 to 99.6%. The case study under partial shading conditions also confirms the 16% improvement in the efficiency of the proposed method and more stability compared to the conventional P&O MPPT controller.
Whether isocitrate dehydrogenase (
) gene aberrations affected prognosis of patients with acute myeloid leukemia (AML) was controversial. Here, we conducted a meta-analysis to evaluate their ...prognostic value.
PubMed, Embase, Cochrane, and Chinese databases were searched to identify studies exploring how
gene aberrations affected AML outcome. Pooled HRs and relative risks (RR) were calculated, along with 95% confidence intervals (CI).
Thirty-three reports were included.
mutations seemed not to affect overall survival (OS: HR, 1.05; 95% CI, 0.89-1.23) and event-free survival (EFS: HR, 0.97; 95% CI, 0.80-1.18) when considered as a single factor, but improved accumulative incidence of relapse (CIR: HR, 1.44; 95% CI, 1.18-1.76) in patients with intermediate-risk karyotypes (IR-AML). However,
mutation conferred worse OS (HR, 1.17; 95% CI, 1.05-1.31) and EFS (HR, 1.29; 95% CI, 1.07-1.56), especially in patients with normal cytogenetics (OS: HR, 1.21; 95% CI, 1.01-1.46; EFS: HR, 1.56; 95% CI, 1.23-1.98). Prognosis of the
single-nucleotide polymorphism rs11554137 was also poor (OS: HR, 1.34; 95% CI, 1.03-1.75).
mutation improved OS (HR, 0.78; 95% CI, 0.66-0.93), particularly in IR-AML patients (OS: HR, 0.65; 95% CI, 0.49-0.86). The
mutation was associated with better OS among younger cases (HR, 0.64; 95% CI, 0.49-0.82). Treatment outcome was poor RR for complete remission rates in
mutation: 1.21; 95% CI, 1.02-1.44;
(
) mutation: 2.14; 95% CI, 1.61-2.85.
Various subtypes of
mutations might contribute to different prognosis and be allowed to stratify IR-AML further.
.
In this study, we attempted to fill a gap that literature has yet to investigate: the impact of global innovation network on industry performance. Based on 3D printing patent data, this paper builds ...a cooperative innovation network of 34 economies for six years. It represents the network characteristics of each economy through 204 network attribute indicators. The panel data model is used to study the relationship between global innovation network characteristics and the R&D efficiency and the income of the main business of the 3D printing industry. The input and output data for the R&D efficiency of the 3D printing industry is derived from the Wohlers Report. R&D efficiency indicator values are measured by the Malmquist Productivity Index model based on DEA. The research results show that the global innovation network centrality indicators, structural hole indicators and clustering coefficient indicators have significant correlation with industrial performance. The research conclusions will provide theoretical support for various economies to formulate global innovation strategies and policies of 3D printing industry.
Recently, a cellular automata learning and prediction (CALP) model was proposed that considered images as living cells and used cellular automata to evolve and synthetically augment handwritten data. ...In this paper, another data augmentation method is proposed inspired by the flocking pattern of birds. It is proposed that any image sample in a handwritten data set can be represented as an assembly of birds. Each bird is specifically located at a point or pixel to collectively form an image. Using a well-defined flocking mechanism, the new positions for these birds can be calculated. Each snapshot of the new position can be considered as a new version of the original image, thus generating more data. The best flocking pattern is determined using biologically-inspired genetic algorithms. The quality of the synthetic data is demonstrated by using it in a handwritten pattern recognition system. For this purpose, the CALP framework is used with few modifications. It is shown that using the new data along with the original data to train classifiers improves the accuracy of classifiers than when they are trained using only the original data. Following the same test bed as CALP, 25 different data sets and classifier pairs were used for experimentation. The experimental results show that by also using the data set generated through flocking, the performance of the base classifiers is significantly improved even when smaller training data is used. We also compare the performance of the proposed technique with other state-of-the-art oversampling methods.
Abstract
Background
Hypervirulent
Klebsiella pneumoniae
(hvKp) infection-induced sepsis-associated acute lung injury (ALI) has emerged as a significant clinical challenge. Increasing evidence ...suggests that activated inflammatory macrophages contribute to tissue damage in sepsis. However, the underlying causes of widespread macrophage activation remain unclear.
Methods
BALB/c mice were intravenously injected with inactivated hvKp (iHvKp) to observe lung tissue damage, inflammation, and M1 macrophage polarization. In vitro, activated RAW264.7 macrophage-derived exosomes (iHvKp-exo) were isolated and their role in ALI formation was investigated. RT-PCR was conducted to identify changes in exosomal miRNA. Bioinformatics analysis and dual-luciferase reporter assays were performed to validate MSK1 as a direct target of miR-155-5p. Further in vivo and in vitro experiments were conducted to explore the specific mechanisms involved.
Results
iHvKp successfully induced ALI in vivo and upregulated the expression of miR-155-5p. In vivo, injection of iHvKp-exo induced inflammatory tissue damage and macrophage M1 polarization. In vitro, iHvKp-exo was found to promote macrophage inflammatory response and M1 polarization through the activation of the p38-MAPK pathway. RT-PCR revealed exposure time-dependent increased levels of miR-155-5p in iHvKp-exo. Dual-luciferase reporter assays confirmed the functional role of miR-155-5p in mediating iHvKp-exo effects by targeting MSK1. Additionally, inhibition of miR-155-5p reduced M1 polarization of lung macrophages in vivo, resulting in decreased lung injury and inflammation induced by iHvKp-exo or iHvKp.
Conclusions
The aforementioned results indicate that exosomal miR-155-5p drives widespread macrophage inflammation and M1 polarization in hvKp-induced ALI through the MSK1/p38-MAPK Axis.
Graphical Abstract
The diagnosis and treatment of cancer triggers not only a negative psychological response for the patient, but also a positive psychological outcome. Positive dyadic coping, as a form of coping for ...mental health outcomes, can maintain or reestablish internal stability between the patient and his or her spouse, resulting in positive physical and psychological changes. However, there is a paucity of research on body image, dyadic coping, and post-traumatic growth in breast cancer patients. The purpose of this study was to explore the relationship and pathways between body image, dyadic coping, and post-traumatic growth in breast cancer patients.
A cross-sectional study was conducted from November 2022 to November 2023 at a tertiary care hospital in Wuxi, Jiangsu, China. This study was conducted among 154 breast cancer patients treated at the Affiliated Hospital of Jiangnan University, all of whom completed demographic and clinical information questionnaires, Body image self-rating questionnaire for breast cancer (BISQ-BC), Dyadic Coping Inventory (DCI) and Post Traumatic Growth Inventory (PTGI). A Pearson correlation analysis was used to explore the relationship between body image, dyadic coping, and post-traumatic growth. Structural equation modeling was used to analyze the path relationships among the three and to explore the mediating role of dyadic coping.
The level of body image was negatively correlated with post-traumatic growth (
= -0.462,
< 0.01); and the level of body image was negatively correlated with dyadic coping (
= -0.308,
< 0.01). And dyadic coping was positively associated with post-traumatic growth (
= 0.464,
< 0.01). The structural equation modeling results supported the mediation model with the following model fit indices, chi-square to degrees of freedom ratio (χ
/df = 2.05), goodness of fit index (GFI = 0.93), comparative fit index (CFI = 0.99), canonical fit index (NFI = 0.93), incremental fit index (IFI = 0.99), non-canonical fit index (TLI = 0.99) and the root mean square of the difference in approximation error (RMSEA = 0.03). Body image and dyadic coping directly affected post-traumatic growth (
= -0.33,
< 0.05;
= 0.43,
< 0.05). And body image indirectly influenced post-traumatic growth through dyadic coping (
= -0.17,
< 0.05).
Interconnections between body image, dyadic coping, and post-traumatic growth in breast cancer patients. A preliminary validation of the mediating role of dyadic coping between body image and post-traumatic growth, body image can have an impact on dyadic coping, which in turn can have an impact on post-traumatic growth. Whereby higher levels of dyadic coping in patients may also be associated with higher levels of post-traumatic growth, whereas body image disturbance may impede levels of post-traumatic growth.
Due to its exceptional quality as a biomedical metal, stainless steel is often utilized to produce a broad range of medical tools. The resistance of stainless steel to corrosion is a key indicator of ...how long and how effective it will serve its intended purpose, and it is an important factor in determining the biocompatibility of the material. However, due to the complex physiological environment within the human body, the corrosion management of medical-grade stainless steel is facing several challenges. In this article, an overview of the factors that influence the corrosion performance of medical-grade stainless steel is provided, and new technologies and methods that have been developed in recent years to improve the corrosion resistance are discussed. These cutting-edge methods are expected to improve the corrosion resistance and longevity of medical-grade stainless steel, providing strong support for the increased applicability of the material in the medical industry.
Key message
Cotton male fertility-associated gene
GhGLP4
, encoding a germin-like protein, is essential for anthers development by keeping ROS homeostasis through reducing H
2
O
2
level.
Utilization ...of heterosis is an important way to increase cotton yield and improve fiber quality in hybrid cotton development programs. Male sterility is used in the development of cotton hybrids to reduce the cost of hybrid seed production by eliminating the process of emasculation. From the transcriptome analysis of genic male sterile mutant (
ms1
) and its background C312 of
G. hirsutum
, a gene encoding germin-like protein (
GhGLP4
) was found significantly down-regulated in different developmental stages of
ms1
anthers. To explore the gene function in cotton fertility,
GhGLP4
was further studied and interfered by virus-induced gene silencing. In the
GhGLP4
interfered cotton lines, the expression level of
GhGLP4
was significantly decreased in the stamens, and the down-regulation of
GhGLP4
resulted in pollen sac closure, stigma exertion, filament shortening, decrease in the number of anthers and complete male sterility. The expression levels of respiratory burst oxidase homologs (Rboh, NADPH oxidase) were significantly altered. Further investigation showed that the SOD activity decreased while the H
2
O
2
content increased in the atypical stamens. These results indicated that
GhGLP4
gene affected the cotton anther development through maintenance of ROS homeostasis by H
2
O
2
reduction.
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