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Attention activation network for bearing fault diagnosis under various noise environments

Fully distributed energy management strategy for DC bus charging stations with three charging modes

White adipose tissues and skeletal muscles as a target of chrysin during the treatment of obesity in rats

AbstractObesity is a rapidly growing epidemic that continues to be a major severe health problem due to its association with various adverse health consequences. Since 1975, the WHO estimates that the prevalence of obesity has tripled globally. Chrysin is a flavone that is mostly found in the Passiflore species of plants and in propolis. The present study was conducted to examine the anti-obesity effect of chrysin on a high-fat diet-induced obesity in rats and to compare their impact to physical activity (swimming). Rats were classified into two groups: the control group and the obese group, which was subdivided into 4 subgroups (8 rats each); an untreated obese group; a chrysin-treated group (oral dose of 100 mg/kg/day); swimming-treated groups (swimming for 1 h/day, five days/week with a constant overload equal to 5% of their weight); and combination-treated groups (chrysin and swimming). After 8 weeks of treatment, blood samples were taken at the end of the experiment for biochemical tests. Animals were then slaughtered to get white adipose tissue (WAT) and skeletal muscle for analysis of the gene expression of the studied genes. In obese rats, therapy with chrysin reduced weight gain, hyperglycaemia, and insulin resistance. Also, the effects of chrysin may be mediated through acting as an anti-inflammatory and antioxidative stress agent. Physical activity (swimming) is a more efficient anti-obesity agent than treating with chrysin alone through upregulation of PPAR-γ and downregulation of Mir-27a. Physical activity with daily supplementation of chrysin showed the best efficiency for the treatment of obesity.

ApoB/ApoA-Ι is associated with major cardiovascular events and readmission risk of patients after percutaneous coronary intervention in one year

RBM47 is a novel immunotherapeutic target and prognostic biomarker in gliomas

AbstractThe role of RBM47, an RNA-binding protein, in shaping the immune landscape of gliomas and tumor immune responses is yet to be fully studied. Therefore, a comprehensive investigation into the immunomodulatory roles of RBM47 in gliomas was conducted, leveraging gene expression data from multi-omic datasets. The prognosis of patients with gliomas considering RBM47 was elucidated using bioinformatics methods and clinical data, with results validated using immunohistochemistry and immunofluorescence analyses. The expression of RBM47 in gliomas was higher than that in normal tissues and was positively correlated with the World Health Organization tumor grade. Increased RBM47 expression is associated with poor prognosis in patients with glioma, serving as an independent predictor of overall survival. The nomogram combining RBM47 expression levels with clinical prognostic factors demonstrated strong predictive accuracy, achieving a C-index of up to 0.863 in both TCGA training and CGGA validation groups. Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, and Gene Set Variation Analysis indicated that RBM47 is closely related to immunity and inflammation. Single-cell sequencing and immunofluorescence assays confirmed the enrichment of RBM47 in CD163 + macrophages. Therefore, RBM47 plays a vital role in the immune microenvironment of gliomas and may be a potential immunotherapy target.

Prevalence and determinants of unintended pregnancy among rural reproductive age women in Ethiopia

Abstract Despite growing utilization of family planning in Ethiopia, many pregnancies in rural areas are still unintended and unintended pregnancy remains a major global challenge in public and reproductive health, with devastating impact on women and child health, and the general public. Hence, this study was aimed to determine the prevalence and associated factors of unintended pregnancy in rural women of Ethiopia. This study used a 2016 Ethiopian Demography and Health Survey data. A total weighted samples of 974 reproductive-aged rural women were included in this analysis. Multilevel mixed logistic regression analysis was employed to consider the effect of hierarchal nature of EDHS data using Stata version 14 to determine individual and community level factors. Variables significantly associated with unintended pregnancy were declared at p-value < 0.05 with adjusted odds ratio and 95% confidence interval (CI). The prevalence of unintended pregnancy in rural women was 31.66% ( 95%CI 28.8%, 34.66%). Never had media exposure (AOR: 2.67, 95%CI 1.48, 4.83), don’t have work (AOR: 0.33, 95%CI 0.21, 0.52), being from household size of one to three (AOR: 0.44 95%CI 0.2, 0.96), being primiparous (AOR: 0.41, 95%CI 0.17, 0.99), women from poor families (AOR: 2.4, 95%CI 1.24, 4.56), lacking the intention to use contraceptive (AOR: 0.24, 95%CI 0.14, 0.44) were individual-level factors significantly associated with unintended pregnancy. Women from large central region (AOR: 4.2, 95%CI 1.19, 14.62) and being from poor community wealth status (AOR: 4.3, 95%CI 1.85, 10.22) were community-level factors statistically associated with unintended pregnancy. The present study prevalence of unintended pregnancy in rural women was relatively high. Maternal occupation, household size, media exposure, parity, women wealth, intention to use contraceptive, region and community level wealth were factors statistically associated with unintended pregnancy. Hence, demographer and public health practitioners has to give great emphasis on designing an intervention with implementation strategies to increase accessibility of media for reproductive-age women’s and improve women financial capacity, and strengthen maternal health services. These strategies helps to decrease adverse birth outcomes associated with unintended pregnancy in rural areas.

Defect identification of fan blade based on adaptive parameter region growth algorithm

The effect of various bulk filling techniques on the mechanical and structural characteristics of class I biomimetic composite dental fillings

AbstractTooth degradation develops easily over time from initial caries to deeper cavities. The quality and durability of restorations are crucial in a patients’ life, and it is primarily determined by the mechanical properties of the restorations. Clinicians and engineers apply biomimetic science in dentistry to mimic the natural design of the teeth and emphasize careful material selection as well as bond strength between the tissue and artificial material. The aim of this research was to develop and compare five different bulk filling restoration techniques for high C-factor (5.0) Class I cavities and determine the most durable technique. Tensile bond strength between the dentin and the filling, as well as the inner structure of the filling was measured via computed tomography, scanning electron microscopy and mechanical testing methods. It was found that the semi-direct bulk filling technique (bulk filling with an extra, indirect curing step) can increase the tensile bond strength on average by 58% (51.1 ± 12.2 MPa) compared to the direct bulk filling method with the same materials (32.4 ± 8.2 MPa). The introduced semi-direct technique allows bulk filling to be used on Class I cavities while achieving a high bond strength, resulting in highly durable and reproducible restorations.

Elevations in D-dimer levels in patients with Plasmodium infections: a systematic review and meta-analysis

AbstractD-dimer, a byproduct of cross-linked fibrin degradation, arises during the fibrinolysis process, breaking down blood clots in circulation. This systematic review and meta-analysis aimed to synthesize evidence of D-dimer alteration in people with malaria, including variations in disease severity. The systematic review was registered in PROSPERO with registration number CRD42024528245. Searches were performed in EMBASE, Scopus, MEDLINE, PubMed, Nursing & Allied Health Premium, and Journals@Ovid on March 25, 2024, to identify original studies that reported D-dimer in patients with Plasmodium infections. The methodological quality of the included studies was assessed using the Joanna Briggs Institute critical appraisal tools. Thematic synthesis and meta-analysis were carried out to synthesize the findings of the included studies. A total of 24 studies were included in the review out of 1,115 records identified. According to the evaluated studies, patients with Plasmodium infections had higher D-dimer levels. A meta-analytic evaluation of D-dimer levels between patients with and without Plasmodium infections revealed a significant elevation of D-dimer in patients with infection, with high heterogeneity (SMD = 2.11, 95% CI = 0.59; 3.64, P = 0.007, I² = 98%, 6 studies, 1,418 participants, random-effects model). However, no significant alterations in D-dimer levels were observed following the comparison between patients with severe and uncomplicated malaria, also with high heterogeneity (SMD = 2.54, 95% CI = -1.60; 6.68, P = 0.23, I² = 99%, 3 studies, 595 participants). The findings suggested that malaria patients have significantly higher D-dimer levels compared to non-malarial individuals. However, there was no significant difference in D-dimer levels between severe and uncomplicated malaria cases. These results highlight the potential of D-dimer as a biomarker for Plasmodium infections, but its clinical utility requires further validation. Future studies should prioritize standardizing D-dimer measurement methods, including assay types, threshold values, and sample types, to ensure consistent and reliable application in clinical settings. Additionally, large, multicentric cohorts are needed to establish robust guidelines for incorporating D-dimer into malaria management practices. Further research should also explore the role of D-dimer in the pathogenesis of Plasmodium infections to deepen our understanding of their clinical significance.

Lung protective ventilation guided by driving pressure improves pulmonary outcomes in heart transplantation

Scalable production of bio-calcium oxide via thermal decomposition of solid - hatchery waste in a laboratory-scale rotary kiln

Abstract Chicken eggshell waste is an alternative renewable source for quicklime production. Eggshell waste has received significant attention from researchers due to it being a potential source of bio-CaO, which not only drives the circular economy concept but also supports sustainable development. However, experiments on the production of bio-CaO are normally conducted in a small lab-scale furnace. Furthermore, the eggshell raw material is collected from canteens or households, which is not suitable for economical or industrial production. Therefore, this study investigated the factors affecting the bio-CaO production from hatchery waste via both batch and continuous calcination process in a laboratory-scale rotary kiln for the first time. The eggshells were first separated from the solid hatchery waste. Then, the effect of preparation methods of raw eggshells on the properties of bio-CaO was investigated, including eggshells with and without membrane separation, various particle sizes, and with an increase of the percent raw material filling in the kiln from 5 to 20%. Calcination of the samples was performed in a rotary kiln at 800 °C with a 0.5 RPM rotating speed and a 5° inclination of the kiln. The effects of the calcination process in either an air or N 2 atmosphere on the calcined product were also observed. Instrumental analysis shows that the production yield and purity of bio-CaO were in the range of 49–56 wt% and 97–98%, respectively. The results also indicated that the production yield of bio-CaO decreased to 17.7% with a decrease in the raw material particle size from 3.3 mm to 250 μm. Moreover, the production of bio-CaO with eggshells containing eggshell membrane decreases the purity of calcium oxide by about 0.7–1.0%. In addition, further increasing the filling volume of the kiln from 5 to 20% had only a slight effect on the purity and yield of the product. These results imply that it is not necessary to remove the eggshell membrane from the raw eggshells in order to produce industrial-grade CaO from the raw eggshell. These new findings can likely be used to develop an alternative process design to reduce the manufacturing cost of bio-CaO produced from hatchery waste. Furthermore, this present study reveals that the specifications of the obtained bio-CaO comply with both Thai industrial standards and international food additive standards.

A comprehensive investigation of Clerodendrum Infortunatum Linn. using LC-QTOF-MS/MS metabolomics as a promising anti-alzheimer candidate

AbstractAlzheimer’s disease (AD) poses a global health challenge, demanding innovative approaches for effective treatments. Clerodendrum infortunatum Linn. (Lamiaceae) is a shrub traditionally used as a medicinal plant to treat inflammation, skin diseases, and bronchitis. This study aims to identify the main bioactive metabolites in C. infortunatum using LC-QTOF-MS/MS and investigate its potential in protecting against cognitive decline in rats with scopolamine-induced AD disease. Metabolite profiling was performed on the methanol extract of the plant’s aerial parts using LC-QTOF-MS/MS. The inhibitory activity of the acetylcholinesterase enzyme was measured in vitro. To evaluate the cognitive effects, the methanol extract was orally administered at three doses (100, 200, and 400 mg/kg) to scopolamine-induced AD rats, and their cognitive functions were assessed using the novel object recognition test. Additionally, acetylcholinesterase enzyme activity, as well as the levels of acetylcholine, dopamine, noradrenaline, glutathione, malondialdehyde, tumor necrosis factor-α, interleukin-1β, and amyloid-β in the rat hippocampus, were measured using ELISA, followed by histopathological evaluation. A total of 79 metabolites, spanning various chemical classes, such as organic acids, phenolic acids, phenylpropanoids and phenylethanoids, flavonoids, coumarins, other phenolics, and fatty acids and their derivatives, were identified. The results showed that the extract promoted enhanced cognitive functions in the novel object recognition test. Scopolamine administration significantly altered the acetylcholinesterase enzyme activity and biomarker levels in the rat’s hippocampus. However, treatment with C. infortunatum at 200 and 400 mg/kg almost restored these neurotransmitter levels to normal, which was further confirmed by histopathological analysis. This study demonstrates the therapeutic potential of C. infortunatum in mitigating cognitive decline in AD, with its first metabolite profiling revealing a range of bioactive compounds. The extract improved cognitive function in scopolamine-induced AD rats, restored acetylcholinesterase activity, normalized neurotransmitter levels, and reduced oxidative stress and inflammation. These findings suggest that C. infortunatum is a promising candidate for the development of natural therapies targeting AD.

Significance of Marangoni convection in ethylene glycol base hybrid nanofluid flow with viscous dissipation through a porous medium

Regulator of G protein signaling-1 facilitates ovarian cancer development by modulating NF-kB signal pathway

Significantly improving the solubility and anti-inflammatory activity of fenofibric acid with native and methyl-substituted beta-cyclodextrins via complexation

A hybrid framework for colorectal cancer detection and U-Net segmentation using polynetDWTCADx

Effects of long-term fertilizer practices on rhizosphere soil ammonia oxidizer community structure under the double-cropping rice field

An L-shaped association between lymphocyte-to-monocyte ratio and erectile dysfunction in NHANES 2001–2004

Endocan expression and correlation with other endothelial determinants in developing a score for early identification of diabetic peripheral neuropathy

Assessment of energy management and power quality improvement of hydrogen based microgrid system through novel PSO-MWWO technique

Abstract A hybrid microgrid powered by hydrogen is an energy infrastructure that depends on hydrogen as its primary energy carrier within a localized network. This study proposed a novel bi-level optimization approach to enhance power quality and cost efficiency of the system. In the quest to improve energy management systems (EMS) and enhance power quality, a bi-level optimization approach named Particle swarm optimization-Modified water wave optimization (PSO-MWWO) has been proposed. This method integrates adaptive population size and an adaptive wavelength coefficient to boost its overall effectiveness. It is attractive with specialists in energy management systems (EMS), control systems, and hydrogen technologies can significantly augment the efficiency of coordination endeavours. PSO-MWWO can incorporate environmental considerations, such as minimizing emissions or exploiting the use of renewable energy resources (RESs) in hydrogen production and consumption. This paper thoroughly examines its implementation, operation, and unique features, with a particular emphasis on the power quality of a hydrogen based microgrid. The achieved results and numerical analysis affirm the superiority of the proposed technique compared to other traditional methods like mixed integer linear programming (MILP), HOMER, Variable mesh optimization (VMO), and Cataclysmic genetic algorithm in optimizing component sizing, renewable production, hydrogen production, reliability, cost effective, and overall efficacy. This substantiates its practical utility in real-time applications. The efficacy of this method is empirically demonstrated through the implementation in MATLAB software.