Search Results (3,740)

Plant respiratory burst oxidase homologs (Rbohs) are key enzymes that produce reactive oxygen species (ROS), which serve as signaling molecules regulating plant growth and stress responses. In this study, 39 TaRboh genes (TaRboh01–TaRboh39) were identified. These genes were distributed unevenly among the wheat genome’s fourteen chromosomes, with the exception of homoeologous group 2 and 7 and chromosomes 4A, as well as one unidentified linkage group (Un). TaRbohs were classified into ten distinct clades, each sharing similar motif compositions and gene structures. The promoter regions of TaRbohs contained cis-elements related to hormones, growth and development, and stresses. Furthermore, five TaRboh genes (TaRboh26, TaRboh27, TaRboh31, TaRboh32, and TaRboh34) exhibited strong evolutionary conservation. Additionally, a Ka/Ks analysis confirmed that purifying selection was the predominant force driving the evolution of these genes. Expression profiling and qPCR results further indicated differential expression patterns of TaRboh genes between heat and drought stresses. TaRboh11, TaRboh20, TaRboh22, TaRboh24, TaRboh29, and TaRboh34 were significantly upregulated under multiple stress conditions, whereas TaRboh30 was only elevated in response to drought stress. Collectively, our findings provide a systematic analysis of the wheat Rboh gene family and establish a theoretical framework for our future research on the role of Rboh genes in response to heat and drought stress. Full article

Primary aldosteronism is characterised by the excessive production of aldosterone, which is a key regulator of salt metabolism, and is the most common cause of secondary hypertension. Studies have investigated the association between primary aldosteronism and genetic alterations, with pathogenic mutations being identified. This includes a glycine-to-arginine substitution at position 151 (G151R) of the G protein-activated inward rectifier potassium (K⁺) channel 4 (GIRK4), which is encoded by the KCNJ5 gene. Mutations in GIRK4 have been found to reduce the selectivity for K⁺ ions, resulting in membrane depolarisation, the activation of voltage-gated Ca²⁺ channels, and an increase in aldosterone secretion. As a result, there is an interest in identifying and exploring the mechanisms of action of small molecule modulators of wildtype (WT) and mutant channels. In order to investigate the potential modulation of homotetrameric GIRK4^WT and GIRK4^G151R channels, homology models were generated. Molecular dynamics (MD) simulations were performed, followed by a cluster analysis to extract starting structures for molecular docking. The central cavity has been previously identified as a binding site for small molecules, including natural compounds. The OliveNet^TM database, which consists of over 600 compounds from Olea europaea, was subsequently screened against the central cavity. The binding affinities and interactions of the docked ligands against the GIRK4^WT and GIRK4^G151R channels were then examined. Based on the results, luteolin-7-O-rutinoside, pheophorbide a, and corosolic acid were identified as potential lead compounds. The modulatory activity of olive-derived compounds against the WT and mutated forms of the GIRK4 channel can be evaluated further in vitro. Full article

The coal–oxygen composite reaction is a complex physicochemical reaction process, and different heating rates have a great influence on this reaction. In order to reveal the influence of different heating rates on the coal–oxygen composite reaction of coking coal, the TG-DSC experimental method was adopted to analyze the hysteresis effect of the characteristic temperature, inflection point temperature, and peak temperature under different heating rates. Furthermore, the KAS method was employed to calculate the apparent activation energy, and the Málek method was utilized to infer the most probable mechanism functions and determine the compensation effects at different stages of the coal oxidation process. The results show that with an increase in heating rate, the temperature values corresponding to each characteristic temperature point increase, the characteristic temperature exhibits a hysteresis phenomenon, and the heat flow rate and heat flux rate also show an increasing trend. The apparent activation energy gradually increases in Stages II and III, with a maximum value of 198.7 kJ/mol near the ignition point T₃, which first increases and then gradually decreases in Stage IV, where the maximum value is around the temperature point T₄ of the maximum mass loss rate, which is 170.02 kJ/mol. The variation trend in the pre-exponential factor is consistent with the apparent activation energy, and the dynamic compensation effect is greater in Stage IV. The three different oxidation stages have different mechanism functions: a three-dimensional diffusion mode is present in Stages II and III, which is ultimately transformed into an accelerated form α-t curve with E₁ and n = 1 in Stage IV. Full article

Background: Spinal cord injuries (SCI) are devastating conditions which often cause multiple permanent physical impairments and psychosocial complications. Discharge from hospital is often delayed and precious health resources are consumed. In Hong Kong SAR, China, the government welfare system and the public hospital system have worked together to address these problems through partnership with non-governmental organizations. An SCI transitional care facility (the Jockey Club New Page Inn, JCNPI) run by a non-governmental organization (SAHK), was inaugurated in 2008. Objectives: Review the local experience of the implementation of SCI transitional care in Hong Kong SAR, China. Methods: A narrative review of the service model, facilitators and barriers, and future development. Service output and outcomes were evaluated with quantitative and qualitative means. Results: The SCI transitional care in Hong Kong provides person-centred transitional care and support, including a time-limited residential rehabilitation, a post-discharge community day rehabilitation programme, and a residential respite care. The current intervention strategy is based on the WHO’s International Classification of Functioning, Disability, and Health (ICF). In the past 16 years, a total of 226 clients were discharged from the residential rehabilitation service. A total of 223 (98.6%) clients have successfully returned to community living. Positive feedback was received from the service users. Conclusions: The SCI transitional care has transformed care for SCI patients from the previous biomedical-oriented, hospital-based rehabilitation into a journey with an empowering and participatory approach addressing their biopsychosocial needs. The model has proven to be a key player in the continuum of care and sustainable community reintegration of individuals with SCI. Full article

The Laser Powder-Bed Fusion Additive Manufacturing (LPBF AM) technique is evaluated for the manufacturing of fully metallic monolithic microwave components. To validate the manufacturing technique, a difference pattern array of 4 × 4 horn antennas is designed to operate at mm-Wave frequencies. The antenna is based on H-plane power dividers and a complex structure to obtain a difference radiation pattern by rotating twisted sections in two different orientations. The prototype is manufactured with a monolithic piece of aluminum alloy AlSi10Mg, providing a lightweight single structure that includes both radiating elements and a feeding network consisting of twisters and power dividers in a waveguide. The prototype was experimentally evaluated in an anechoic chamber and the near-field planar acquisition range, obtaining good agreement with full-wave simulations within an operational bandwidth from 34 to 36 GHz. The results demonstrate that the LPBF AM technique is a suitable candidate to produce challenging monolithic metal-only microwave components in the ${\mathrm{K}}_{\mathrm{a}}$-band, such as monopulse antennas. Full article

Delirium can occur at any age, although the incidence is higher in older patients and after surgery. Although delirium is an acute, potentially reversible, cognitive disorder, there is evidence that it is associated with increased healthcare costs and imposes a significant burden on patients, families, hospitals, and public resources. The aim of this study was to investigate and assess the knowledge, behaviours, and factors influencing assessments of delirium by hospital nurses so as to predict the factors associated with their current delirium management behaviours. A cross-sectional survey was conducted among 342 nurses in different hospitals in Macau. The questionnaires included items on the respondents’ demographic information, knowledge of delirium care, nursing behaviours, and factors influencing nurses’ assessment of delirium patients in their daily practice. The descriptive statistics showed that nurses were found to have a moderate level of knowledge about the management of delirium. The repeated measures ANOVA revealed that patient factors were the most significant, outweighing individual and organizational factors as barriers to assessing patients with delirium. The Pearson’s correlation showed a moderate positive correlation between delirium care knowledge and delirium care behaviour (r = 0.339). With regard to factors influencing delirium care behaviours, multiple linear regression models showed that the significant predictors were years of work experience (β = 0.206, 95% CI: 1.125–3.158), the duration of delirium care courses (β = 0.103, 95% CI: 0.118–3.339), the knowledge of delirium care (β = 0.264, 95% CI: 0.474–1.019), and personal factors influencing nurses’ delirium assessments (β = −0.239, 95% CI: −1.031–−0.432). To enhance delirium management and achieve the optimal care of patients with delirium, formal education and training are crucial. Organizations should develop structured protocols and workflows that empower nurses. By integrating organizational strategies with individual efforts, clinical practices can be improved, resulting in optimal delirium care for patients. Full article

The accurate determination of acid/base constants (proton dissociation constants—pK_a, or equivalently protonation constants—logK) is essential for the physicochemical characterization of new molecules, especially in drug design and development, as these parameters thoroughly influence the pharmacokinetics and pharmacodynamics of drug action. While pH/potentiometric titration remains the gold standard method for determining acid/base constants, spectroscopic techniques—particularly nuclear magnetic resonance spectroscopy (as NMR/pH titrations)—have emerged as powerful alternatives for specific challenges in analytical chemistry, providing also information on the structure and site of protonation. In this study, we performed a comprehensive meta-analysis of protonation constants reported in the literature, measured using both potentiometry and NMR titrations. Our analysis compiled the available literature data and assessed the agreement between the two methods, taking into consideration various experimental conditions, such as temperature and ionic strength. The results provide insights into the reliability and applicability of NMR titrations compared with potentiometry, offering guidance for selecting appropriate methodologies in drug design. Full article

Biological activity is strongly dependent on pH, which fluctuates within a variety of neutral, alkaline, and acidic local environments. The heterogeneity of tissue and subcellular pH has driven the development of sensors with different pKa values, and a huge assortment of fluorescent sensors have been created to measure and visualize pH in living cells and tissues. In particular, sensors that report based on fluorescence lifetime are advantageous for quantitation. Here, we apply a theoretical framework to derive how the apparent pKa of lifetime-based pH sensors depends on fluorescence excitation wavelength. We demonstrate that theory predicts the behavior of two different fluorescent protein-based pH sensors in solution as proofs-of-concept. Furthermore, we show that this behavior has great practical value in living cells because it extends the sensing range of a single sensor by simply choosing appropriate detection parameters to match the physiological pH range of interest. More broadly, our results show that the versatility of a single lifetime-based sensor has been significantly underappreciated, and our approach provides a means to use a single sensor across a range of pH environments. Full article

This study evaluates how the polarity of the medium affects the binding efficiency of hydrophobic ligands with human serum albumin (HSA). The polarity of the aqueous medium was changed by adding 1,4-dioxane in concentrations of 0%, 10%, and 20% w/w, resulting in solvent mixtures with decreasing dielectric constants (ε = 80, 72, and 63). The addition of 1,4-dioxane did not affect the integrity of the protein, as confirmed by Far-UV-CD, Rayleigh scattering, and time-resolved fluorescence experiments. The impact of medium polarity on the binding constants was evaluated using 1,6-diphenyl-1,3,5-hexatriene (DPH), octyl gallate (OG), quercetin, and rutin as ligands. The association constants of DPH decreased as the medium hydrophobicity increased: at 0%, Ka = 19.8 × 10⁵ M⁻¹; at 10%, Ka = 5.3 × 10⁵ M⁻¹; and at 20%, Ka = 1.7 × 10⁵ M⁻¹. The decrease was still higher using OG: at 0%, Ka = 5.2 × 10⁶ M⁻¹; and at 20%, Ka = 2.2 × 10⁵ M⁻¹. The results in the same direction were obtained using quercetin and rutin as ligands. Molecular dynamics simulations illustrated the hydrophobic effect at the molecular level. The energy barrier for DPH to detach from the protein’s hydrophobic site and to move into the bulk solution was higher at 0% (9 kcal/mol) than at 20% 1,4-dioxane (7 kcal/mol). The difference was higher for OG, with 14 and 6 kcal/mol, respectively. Based on these findings, it was shown that the difference in hydrophobicity between the protein’s microenvironment and the surrounding solvent is an essential component for the effectiveness of the interaction. These results shed light on albumin–ligand complexation, a molecular interaction that has been extensively studied. Full article

In view of Singapore’s rapidly ageing population, this study is an exploratory pilot designed to assess the feasibility and potential impact of virtual reality recreation therapy (VRRT) on homebound seniors. A tri-party research partnership was formed between the Singapore University of Social Sciences (SUSS), NTUC Health Home Care, and Vue Reality Labs. The aim was to explore the benefits of VR recreation therapy for homebound seniors, contributing to the goal of ‘aging in place’. Over two years, a 52-week VR curriculum was developed, featuring social, travel, and cultural topics tailored to the seniors. Five care associates from NTUC Health Home Care received facilitator training by Vue Reality Labs. A total of 71 homebound senior participants aged 50 to 102 engaged in over 1600 session hours during the 52-week trial; 62% had varying levels of dementia. A mixed-methods approach was adopted to explore the general impact and feasibility of VR recreation therapy, incorporating quantitative data on participants’ emotional, social, and cognitive conditions and qualitative data from facilitator interviews. The findings revealed that most senior participants enjoyed the VR sessions, perceiving them to positively impact their overall health and well-being. Caregivers reported improvements in cognitive, social, and emotional functioning of the participants. The positive effects extended to caregivers and facilitators, with renewed relationships and enhanced skills, respectively. The insights and observations gathered from this pilot study will serve as a foundation for designing a more robust study for deploying the VR recreation therapy programme in senior care. Full article

Rosemary (Salvia rosmarinus) is a world-famous plant frequently subjected to various environmental stresses. Heat Shock Transcription Factor (HSF) has been shown to be essential for plant growth and for resistance to environmental stresses. This study utilized bioinformatics techniques to identify the SrHSF gene family in the rosemary genome. A total of 49 SrHSFs were detected, unevenly distributed across 12 chromosomes. The SrHSF genes were classifiable into 3 subfamilies and contained in 14 subgroups. They were relatively conserved during the evolutionary process based on gene structure and conserved motif analysis. There were 22 kinds of cis-acting elements in the promoter regions of SrHSF genes, mostly related to hormones, stress, growth, and development. The interactions among 16 highly conserved SrHSF proteins were also identified. Gene collinearity analysis showed that 51 segmental duplication events were undergone among 41 SrHSF genes. Ka/Ks ratios were all less than 1, suggesting a purifying selection of SrHSF homologous genes. The expression pattern of SrHSF genes revealed that the majority of them are highly expressed in the secondary stems. After 0.1% MeJA treatment, SrHSF36 and SrHSF11 showed a significant upregulation in leaves. This research provides valuable insights into the functions and regulatory mechanisms of the SrHSF gene family. Full article

Debris flow in the upper Yellow River is very developed and is generally characterized by wide distribution with large numbers and a high frequency of occurrence. This paper analyses the distribution characteristics, material composition, and formation causes of the Erlian debris flow fan in the eastern part of the Guide Basin and discusses the relationship between debris flow fan and river evolution. Results show that: (1) At least 66 debris flow gullies and 20 large debris flow accumulation fans have been developed on both sides of the Yellow River in the eastern Guide Basin. (2) In the Erlian Village area, the Yellow River channel has experienced the accumulation, erosion, destruction, and accumulation process of debris flow fans in 16 kaB.P., 16 ka B.P.–8 ka B.P., and 8 kaB.P., respectively, the late-accumulation fan has been continuously extruding the Yellow River channel since 8 kaB.P., and the Yellow River channel has been shifted to the south by at least 1.25 km during the period of 8 ka. (3) Five accumulation periods for the Late Mudslide Fan were identified by classifying the 16 kaB.P. and 8 kaB.P. early and late mudslide fans. This study can provide theoretical and technical support for preventing debris flow disasters in the upper reaches of the Yellow River and has certain reference and reference values. Full article

Hairy vetch (Vicia villosa Roth) and smooth vetch (V. villosa Roth var. glabrescens) are important cover crops and legume forage with great economic and ecological values. Due to the large and highly heterozygous genome, full-length transcriptome reconstruction is a cost-effective route to mining their genetic resources. In this study, a hybrid sequencing approach combining SMRT and NGS technologies was applied. The results showed that 28,747 and 40,600 high-quality non-redundant transcripts with an average length of 1808 bp and 1768 bp were generated from hairy vetch and smooth vetch, including 24,864 and 35,035 open reading frames (ORFs), respectively. More than 96% of transcripts were annotated to the public databases, and around 25% of isoforms underwent alternative splicing (AS) events. In addition, 987 and 1587 high-confidence lncRNAs were identified in two vetches. Interestingly, smooth vetch contains more specific transcripts and orthologous clusters than hairy vetch, revealing intraspecific transcript diversity. The phylogeny revealed that they were clustered together and closely related to the genus Pisum. Furthermore, the estimation of Ka/Ks ratios showed that purifying selection was the predominant force. A putative 3-dehydroquinate dehydratase/shikimate dehydrogenase (DHD/SDH) gene underwent strong positive selection and might regulate phenotypic differences between hairy vetch and smooth vetch. Overall, our study provides a vital characterization of two full-length transcriptomes in Vicia villosa, which will be valuable for their molecular research and breeding. Full article

Cancer-associated fibroblasts (CAFs) are a heterogeneous cell population in the tumor microenvironment (TME) that critically affect cancer progression. Small extracellular vesicles (sEVs) act as information messengers by transmitting a wide spectrum of biological molecules, including proteins, nucleic acids, and metabolites, from donor cells to recipient cells. Previous studies have demonstrated that CAFs play important roles in tumor progression by regulating tumor cell proliferation, metastasis, therapeutic resistance, and metabolism via sEVs. In turn, tumor-derived sEVs can also regulate the activation and phenotype switch of CAFs. The dynamic crosstalk between CAFs and cancer cells via sEVs could ultimately determine cancer progression. In this review, we summarized the recent advance of the biological roles and underlying mechanisms of sEVs in mediating CAF-tumor cell interaction and its impact on cancer progression. We also reviewed the clinical applications of tumor- and CAF-derived sEVs, which could identify novel potential targets and biomarkers for cancer diagnosis, therapy, and prognosis. Full article

Multimodal medical image segmentation is challenging due to feature heterogeneity across modalities and the presence of modality-specific noise and artifacts. These factors hinder the effective capture and fusion of information, limiting the performance of existing methods. This paper introduces KARAN, a novel end-to-end deep learning model designed to overcome these limitations. KARAN improves feature representation and robustness to intermodal variations through two key innovations: First, KA-MLA, a novel attention block incorporating State Space Model (SSM) and Kolmogorov–Arnold Network (KAN) characteristics into Transformer blocks for efficient, discriminative feature extraction from heterogeneous modalities. Building on KA-MLA, we propose KA-MPE for multi-path parallel feature extraction to avoid multimodal feature entanglement. Second, RanPyramid leverages random convolutions to enhance modality appearance learning, mitigating the impact of noise and artifacts while improving feature fusion. It comprises two components: an Appearance Generator, creating diverse visual appearances, and an Appearance Adjuster, dynamically modulating their weights to optimize model performance. KARAN achieves high segmentation accuracy with lower computational complexity on two publicly available datasets, highlighting its potential to significantly advance medical image analysis. Full article