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The Candida haemulonii complex includes emerging opportunistic human fungal pathogens with documented multidrug-resistance profiles. It comprises Candida haemulonii sensu stricto, Candida haemulonii var. vulnera, Candida duobushaemulonii, Candida pseudohaemulonii, and Candida vulturna. In recent years, rates of clinical isolation of strains from this complex have increased in multiple countries, including China, Malaysia, and Brazil. Biofilm formation, hydrolytic enzymes, surface interaction properties, phenotype switching and cell aggregation abilities, extracellular vesicles production, stress response, and immune evasion help these fungi to infect the host and exert pathological effects. Multidrug resistance profiles also enhance the threat they pose; they exhibit low susceptibility to echinocandins and azoles and an intrinsic resistance to amphotericin B (AMB), the first fungal-specific antibiotic. AMB is commonly employed in antifungal treatments, and it acts via several known mechanisms. Given the propensity of clinical Candida species to initiate bloodstream infections, clarifying how C. haemulonii resists AMB is of critical clinical importance. This review outlines our present understanding of the C. haemulonii complex's virulence factors, the mechanisms of action of AMB, and the mechanisms underlying AMB resistance. [ABSTRACT FROM AUTHOR]

Mustard is an important cash crop of the genus Brassica in the family Cruciferae. Low temperature is an important environmental factor limiting the growth of mustard. In this study, 65 leafy mustard cultivars were used as experimental materials, 25 °C was set as the control temperature, and 5 °C was set as chilling stress temperature to investigated the physiological response of chlorophyll (Chl) content, soluble sugar (SS) content, proline (Pro) content, antioxidant enzyme activity, malondialdehyde (MDA) content, and chlorophyll fluorescence to chilling injury. The chilling tolerance coefficients of each individual index were measured and correlation analysis, principal component analysis (PCA), the membership function method, and cluster analysis were applied to evaluate chilling tolerance. In a comprehensive analysis, the most chilling-tolerant cultivar was SJTKJ, the least chilling-tolerant cultivar was DX. Stepwise regression was used to establish a mathematical model for evaluating the chilling tolerance of mustard, and four chilling tolerance identification indices, including Fv/Fm, ΦPSII, POD activity, and Rfd were screened. This study provides a reference for the evaluation of the chilling tolerance of mustard and the breeding of new chilling-tolerant cultivars. [ABSTRACT FROM AUTHOR]

To summarise the development, hot topics, and future trends in TDF-related research and provide implementation practitioners with more information on the application of TDF. Methods: We used TDF as the topic and searched the ISI Web of Science Core Collection, identifying 1382 relevant publications. We used analytical tools such as Excel, Tableau, VOSviewer, and Citespace to conduct a bibliometric analysis of the relevant publication. Results: We identified the United Kingdom as the primary contributor, with University College London as the key institution. Susan Michie ranked highest in total citations. The analysis highlighted cancer and stroke as primary clinic medicine-related topics using TDF. Emerging themes encompass abuse, violence, maternal health, antenatal care, patient involvement, and trauma-informed care et al. "Nurse" and "qualitative research" emerged as recent and enduring hotspots, possibly indicating future research trends. Conclusion: This article represents the first attempt to summarise the TDF using bibliometric analysis. We suggest this method can be used to analyse other theoretical frameworks in scientific implementation of its objectivity and quantifiability. Overall, the application scope of TDF is shifting from public health towards more specialised clinical directions, although its application in the field of public health is continuously expanding. In the future, the number of users of TDF is also expected to expand from implementation scientists to professional technical personnel. [ABSTRACT FROM AUTHOR]

Automatic harvesting robots are crucial for enhancing agricultural productivity, and precise fruit maturity detection is a fundamental and core technology for efficient and accurate harvesting. Strawberries are distributed irregularly, and their images contain a wealth of characteristic information. This characteristic information includes both simple and intuitive features, as well as deeper abstract meanings. These complex features pose significant challenges to robots in determining fruit ripeness. To increase the precision, accuracy, and efficiency of robotic fruit maturity detection methods, a strawberry maturity detection algorithm based on an improved CES-YOLOv8 network structure from YOLOv8 was developed in this study. Initially, to reflect the characteristics of actual planting environments, the study collected image data under various lighting conditions, degrees of occlusion, and angles during the data collection phase. Subsequently, parts of the C2f module in the YOLOv8 model's backbone were replaced with the ConvNeXt V2 module to enhance the capture of features in strawberries of varying ripeness, and the ECA attention mechanism was introduced to further improve feature representation capability. Finally, the angle compensation and distance compensation of the SIoU loss function were employed to enhance the IoU, enabling the rapid localization of the model's prediction boxes. The experimental results show that the improved CES-YOLOv8 model achieves an accuracy, recall rate, mAP50, and F1 score of 88.20%, 89.80%, 92.10%, and 88.99%, respectively, in complex environments, indicating improvements of 4.8%, 2.9%, 2.05%, and 3.88%, respectively, over those of the original YOLOv8 network. This algorithm provides technical support for automated harvesting robots to achieve efficient and precise automated harvesting. Additionally, the algorithm is adaptable and can be extended to other fruit crops. [ABSTRACT FROM AUTHOR]

The visible-light-driven photocatalytic production of hydrogen peroxide (H2O2) is currently an emerging approach for transforming solar energy into chemical energy. In general, the photocatalytic process for producing H2O2 includes two pathways: the water oxidation reaction (WOR) and the oxygen reduction reaction (ORR). However, the utilization efficiency of ORR surpasses that of WOR, leading to a discrepancy with the low oxygen levels in natural water and thereby impeding their practical application. Herein, we report a novel donor–bridge–acceptor (D-B-A) organic polymer conjugated by the Sonogashira–Hagihara coupling reaction with tetraphenylethene (TPE) units as the electron donors, acetylene (A) as the connectors and pyrene (P) moieties as the electron acceptors. Notably, the resulting TPE-A-P exhibits a remarkable solar-to-chemical conversion of 1.65% and a high BET-specific surface area (1132 m2·g−1). Furthermore, even under anaerobic conditions, it demonstrates an impressive H2O2 photosynthetic efficiency of 1770 μmol g−1 h−1, exceeding the vast majority of previously reported photosynthetic systems of H2O2. The outstanding performance is attributed to the effective separation of electrons and holes, along with the presence of sufficient reaction sites facilitated by the incorporation of alkynyl electronic bridges. This protocol presents a successful method for generating H2O2 via a water oxidation reaction, signifying a significant advancement towards practical applications in the natural environment. [ABSTRACT FROM AUTHOR]

According to International Diabetes Federation Diabetes Atlas statistics, diabetic retinopathy (DR) is the leading cause of vision loss in blinding diseases. The underlying cause of retinal vasculopathy progression in diabetic patients is hyperglycemia and hypoxia features in microvascular region. Hence, cyanobacteria are used as carriers to load both gold nanoparticles (Au NPs) with glucose oxidase‐like activity and iridium nanoparticles (Ir NPs) with catalase‐like activity, respectively (Cyano@Au@Ir). The Au NPs nanozyme first degrades glucose into hydrogen peroxide, which is further decomposed into H2O and O2 by the Ir NPs to complete the cascade hypoglycemic reaction. Based on the unique light transmittance of eyeball and the accumulation of light in the retinal area, the sustainable O2 production by Cyano greatly alleviates the hypoxia of microenvironment, leading to the decrease of angiogenic growth factor and hypoxia‐inducible factor expressions. Simultaneously, the highly expressed peroxide in the DR microenvironment can also be eliminated by Ir NPs for anti‐inflammatory property. Furthermore, it is demonstrated in DR animal model that Cyano@Au@Ir significantly reduces neovascular progression and vascular leakage. This novel treatment mode fundamentally degrades blood glucose, continuously supplies O2, and scavenges free radicals for comprehensive microenvironment regulation, providing inspirations for solving fundus complications of DR. [ABSTRACT FROM AUTHOR]

The UNS N10675 alloy is made with the combined melting process of vacuum induction + vacuum self-consumption. And then the round billet for tube-making is produced of the said alloy via the forging process. And with the round billet the UNS N10675 alloy seamless tube is successfully developed by means of the process of hot-extrusion + cold-rolling + solution heat treatment. Relevant inspection results show that the processes as used to make the UNS N10675 alloy seamless tube are reliable, including melting, forging, hot-extrusion, cold-rolling and heat treatment; and the tube features good outer and inner surface quality, high OD and WT accuracies, the chemical composition up to the requirement as specified under applicable standard; the matrix of the tube is composed of equiaxed austenite grains, and the transversal and longitudinal average grain size is Class 7; and the 25~525 °c tensile performance, the Vickers hardness, the process performance and the corrosion resistance etc. are all excellent, being satisfactory to applicable requirements as made for the corrosion device. [ABSTRACT FROM AUTHOR]

Due to the rapid increase of population density and automobile vehicle numbers in mega-cities, large underground garages have become universal supporting facilities to meet the demand for parking spaces in the recently-built commercial complexes and high-rise residential communities. Natural ventilation was insufficient to discharge vehicle-induced pollutants out of the enclosed underground spaces, which could pose a potential threat to people's health. This study aims to determine the spatial and temporal distribution characteristics of pollutants concentration and the health risk of underground parking garages (UPGs)' staff and users. Field measurements were conducted on the air pollutants concentrations and the users' exposure characteristics in 11 commercial UPGs and three high-rise residential UPGs with natural ventilation in Xi'an. The pollutants concentrations were higher in the afternoon and morning of commercial and high-rise residential UPGs. In general, the particulate matters (PM2.5 and PM10), HCHO, TVOC and BTEX (benzene, toluene, ethylbenzene and xylenes) concentrations in commercial and residential UPGs were 0.069/0.067 mg/m³, 0.12/0.097 mg/m³, 0.014/0.017 mg/m³, 1.8/1.8 mg/m³, 0.056/0.10 mg/m³, 0.19/0.29 mg/m³ and 0.41/0.49 mg/m³, respectively. TVOC and BTEX concentrations in UPGs significantly correlated with traffic volume (p < 0.01). In different groups, the entropy values of carcinogenic and non-carcinogenic risks were: staffs > children travelling with adults > adults. In particular, occupational long-term (employee) exposure could lead to both carcinogenic and non-carcinogenic risks. [ABSTRACT FROM AUTHOR]