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In this work, a series of Ag 3 PO 4 /g-C 3 N 4 (AG) photocatalysts were synthesized. After characterizing the properties, the effects of mass ratio, light intensity, and material dosages on photodegradation were investigated. The material with a 1/2 mass ratio of Ag 3 PO 4 /g-C 3 N 4 showed the highest photocatalytic activity under visible light, and the removal efficiency reached 90.22% for an initial suspended algae concentration of 2.7 × 10 6 cells/mL, 0.1 g of AG, and 3 h of irradiation. These results showed that the conductivity was increased while the total protein and COD contents of the algae suspension were declined rapidly. In contrast, the variations in the malondialdehyde (MDA) level suggested that the algae cell wall was severely damaged and that selective permeability of the membrane was significantly affected. A possible photocatalytic mechanism was proposed and •O 2 − was shown to be the major reactive oxygen species in the photocatalysis. In summary, during the visible light photocatalytic process, the cell structure was destroyed, which caused the leakage of electrolyte, the inactivation of protein, and the inhibition of photosynthesis; finally, the cells died. This study provides a reference for photodegradation of algae pollution in water bodies.

Due to the unique chemical and physical properties, graphene-based nanomaterials are increasingly being introduced into various scientific fields. They all play very important roles in different fields and are widely used. Graphene oxide (GO) is one of the most popular and representative carbon nanomaterials; scientists have great research interest in it. When carbon nanomaterials such as GO are released into the aquatic environment, their physicochemical properties will be influenced by natural light, resulting in the potential change in toxic effects on aquatic organisms. Algae, as a typical aquatic organism, is extensively regarded as a model microorganism to assess the biotoxicity of nanomaterials. In this review, we overview the light-mediated impact of GO on algae. We summarize the photo-transformation of GO under different illumination conditions and the effect of illumination on the physicochemical properties of GO. Then, we combined metabolomics, genotoxicity, and proteomics with standard toxicity assays (cell division, membrane permeability, oxidative stress, photosynthesis, cellular ultrastructure, and so on) to compare native and environmentally transformed GO induction toxicological mechanisms. By correlating lights, physicochemical properties, and biotoxicity, this review is valuable for environmental fate assessments on graphene-based nanoparticles, providing a theoretical basis and support for evaluating the potential ecological health and environmental risks of graphene-based nanoparticles in real natural water environments.

The effects of the influent nitrate (NO3−-N) concentration on reactor performance and microbial communities of anaerobic methane oxidation coupled to denitrification in a membrane biofilm reactor were emphatically investigated after prolonged storage. The system was run for a period of 185 days including the storage period, reactivating process, and stable operation phase. The influent NO3−-N concentrations varied from 10, 20, and 30 mg/L, and the reactor was continuously operated for 135 days. The denitrification rate in the reactor was activated first and then inhibited, with the average value of NO3−-N consumed of 0.42 mg/L·h−1 at influent NO3−-N of 20 mg/L; there was no obvious nitrite and ammonia–nitrogen accumulation in the whole stage. Illumina MiSeq sequencing results showed that increases in NO3−-N loading could improve the microbial abundance in the system. The highest value for variety and the lowest value for the evenness of the microbial community corresponded to the ideal value of 20 mg/L. It speculated that promoting biofilm bacteria (PBB) became the key functional bacterial group after prolonged storage. Besides, the abundance of methane-oxidizing bacteria was significantly increased in synergy with PBB and denitrifiers to achieve reactivating and stable operation of anaerobic methane oxidation coupled to denitrification.

In this work, a series of Ag PO /g-C N (AG) photocatalysts were synthesized. After characterizing the properties, the effects of mass ratio, light intensity, and material dosages on photodegradation were investigated. The material with a 1/2 mass ratio of Ag PO /g-C N showed the highest photocatalytic activity under visible light, and the removal efficiency reached 90.22% for an initial suspended algae concentration of 2.7 × 10 cells/mL, 0.1 g of AG, and 3 h of irradiation. These results showed that the conductivity was increased while the total protein and COD contents of the algae suspension were declined rapidly. In contrast, the variations in the malondialdehyde (MDA) level suggested that the algae cell wall was severely damaged and that selective permeability of the membrane was significantly affected. A possible photocatalytic mechanism was proposed and •O was shown to be the major reactive oxygen species in the photocatalysis. In summary, during the visible light photocatalytic process, the cell structure was destroyed, which caused the leakage of electrolyte, the inactivation of protein, and the inhibition of photosynthesis; finally, the cells died. This study provides a reference for photodegradation of algae pollution in water bodies.

The activity of surface receptors is location specific, dependent upon the dynamic membrane trafficking network and receptor-mediated endocytosis (RME). Therefore, the spatio-temporal dynamics of RME are critical to receptor function. The plasma membrane receptor FLAGELLIN SENSING2 (FLS2) confers immunity against bacterial infection through perception of flagellin (flg22). Following elicitation, FLS2 is internalized into vesicles. To resolve FLS2 trafficking, we exploited quantitative confocal imaging for colocalization studies and chemical interference. FLS2 localizes to bona fide endosomes via two distinct endocytic trafficking routes depending on its activation status. FLS2 receptors constitutively recycle in a Brefeldin A (BFA)-sensitive manner, while flg22-activated receptors traffic via ARA7/Rab F2b— and ARA6/Rab F1—positive endosomes insensitive to BFA. FLS2 endocytosis required a functional Rab5 GTPase pathway as revealed by dominant-negative ARA7/Rab F2b. Flg22-induced FLS2 endosomal numbers were increased by Concanamycin A treatment but reduced by Wortmannin, indicating that activated FLS2 receptors are targeted to late endosomes. RME inhibitors Tyrphostin A23 and Endosidin 1 altered but did not block induced FLS2 endocytosis. Additional inhibitor studies imply the involvement of the actin-myosin system in FLS2 internalization and trafficking. Altogether, we report a dynamic pattern of subcellular trafficking for FLS2 and reveal a defined framework for ligand-dependent endocytosis of this receptor.

Background High-intensity focused ultrasound (HIFU) is becoming popular in the treatment of solid tumors because of its non-invasiveness with few complications. The acoustic field is of importance in evaluating the safe focus shifting distance and determining the treatment plan. Methods The propagation of finite-amplitude acoustic wave from a 331-element HIFU phased-array with focus steering along and transverse to the transducer axis and 4-foci shifting on the focal plane was simulated using the angular spectrum approach (ASA) with a marching second-order operator-splitting scheme. In addition, the acoustic field produced by a truncated asymmetric transesophageal HIFU annular array was also simulated, and the effects of driving frequency and the number of concentric rings were investigated. Results Because of the nonlinear effects, the peak negative pressure is lower than that of peak positive pressure at the main lobe but has a larger beam size. However, the peak positive and negative pressures at the grating lobe are quite similar. The effects of the focus shifting distances on the main and grating lobe (both acoustic pressure and − 6 dB beam size) were evaluated. With the focus shifting axially away from the transducer surface, the main lobe has decreased acoustic pressure by ~ 1.9 fold and increased beam size by ~ 4.5 fold while the grating lobe has the increased acoustic pressure by ~ 1.8 fold. The focus shifting laterally leads to the reduced pressure at the main lobe by ~ 1.4 fold but the slight decrease at the grating lobe by ~ 1.1 fold. In comparison, the shifting of multi-foci has similar influences on the main lobe but increases the pressure at the grating lobe. Driving frequency of annular array is found to have greater influences on the peak pressure and beam size. Conclusion Our algorithm can simulate the acoustic field of phased-array in arbitrary shape and optimize the transducer design, and the focus shifting distance and strategy should be selected appropriately for the safe HIFU exposure.

The skin, as the largest organ, serves as a protective barrier against external stimuli. However, when the skin is injured, wound healing becomes a complex process influenced by physiological conditions, bacterial infections, and inflammation. To improve the process of wound healing, a variety of wound dressings with antibacterial qualities have been created. Electrospun nanofibers have gained significant attention in wound dressing research due to their large specific surface area and unique structure. One interesting method for creating Janus-structured nanofibers is side-by-side electrospinning. This work used side-by-side electrospinning to make cellulose acetate/gelatin Janus nanofibers. Curcumin and zinc oxide nanoparticles were added to these nanofibers. We studied Janus nanofibers’ physicochemical characteristics and abilities to regulate small-molecule medication release. Janus nanofibers coated with zinc oxide nanoparticles and curcumin were also tested for antibacterial activity. The Janus nanofibers with specified physicochemical characteristics were successfully fabricated. Nanofibers released small-molecule medicines in a controlled manner. Additionally, the Janus nanofibers loaded with curcumin exhibited excellent antibacterial capabilities. This research contributes to the development of advanced wound dressings for promoting wound healing and combating bacterial infections.

Experiential learning activities help students prepare for their future careers by providing opportunities for hands‑on practice experiencing real‑world scenarios. Innovations in technology can facilitate experiential learning and cross‑cultural connections for large groups of students in multiple global settings through a virtual platform. However, designing these opportunities with diverse groups of students for a virtual environment can be challenging. The purpose of this paper is to highlight three examples of innovative virtual experiential learning initiatives that were developed and implemented by the Global Health Program of the Association of Pacific Rim Universities (APRU), a non‑profit network of 60+ leading research universities in the Asia‑Pacific. We have leveraged the expertise of our wide network to enhance student learning through the purposeful design of virtual educational experiences centered around pedagogical approaches that emphasize active learning, self‑reflection, and knowledge exchange with people from other cultures and disciplines. The annual global health joint virtual courses, the annual APRU Virtual Global Health Case Competition, and the APRU Mini Certificate foster meaningful engagement with other students and experts in the field, expanding the lens of students to foster an increased awareness and appreciation of the diversity of perspectives represented in an international network such as APRU. These allow students to practice real‑world application of knowledge gained in a traditional didactic classroom setting. The benefits of virtual experiential learning to students greatly outweigh the challenges in the design and implementation of such programs. While relatively short‑term, these virtual initiatives have had a demonstrable impact on student participants. Such programs can enhance student learning and provide cost‑effective ways to allow large international cohorts to experience global experiential learning.

Context Cultivated land fragmentation (CLF) undermines agricultural productivity and food security, yet its spatiotemporal dynamics and driving forces remain poorly understood in diverse regions such as China. Objectives This study aims to quantify the spatiotemporal dynamics of CLF across China from 1990 to 2020, using a multidimensional Cultivated Land Fragmentation Index (CLFI) as its measurement, and to identify the dominant natural and anthropogenic factors across different agricultural regions. Methods We developed a multidimensional CLFI integrating land cover data and landscape metrics. CLF patterns were analyzed using the Space Time Cube and Theil–Sen trend estimation. Driving mechanisms were examined through GeoDetector and Multiscale Geographically Weighted Regression (MGWR), using 12 candidate variables representing topography, climate, soil, and human activity. Results CLFI initially declined during 1990–2000 (65.2% of counties) but reversed after 2000, with 83.8% of counties exhibiting an increase in fragmentation by 2010–2020. Human activity indicators—especially night-time light, impervious surface ratio, and road density—were the most influential nationwide, while elevation and soil conditions remained key constraints in mountainous and ecologically sensitive regions. GeoDetector revealed strong interactive effects (e.g., nighttime light × elevation, q = 0.52), and MGWR identified substantial spatial heterogeneity in driving forces. Conclusions CLF in China results from a dynamic interplay of anthropogenic expansion and natural constraints, with evident regional divergence. These findings provide critical insights for region-specific land consolidation, ecological zoning, and farmland protection strategies to support sustainable agriculture and food security.

Support vector machines (SVM) is an effective tool for building good credit scoring models. However, the performance of the model depends on its parameters’ setting. In this study, we use direct search method to optimize the SVM-based credit scoring model and compare it with other three parameters optimization methods, such as grid search, method based on design of experiment (DOE) and genetic algorithm (GA). Two real-world credit datasets are selected to demonstrate the effectiveness and feasibility of the method. The results show that the direct search method can find the effective model with high classification accuracy and good robustness and keep less dependency on the initial search space or point setting.