Characterization of the powdery mildew resistance locus in wheat breeding line Jimai 809 and its breeding application.

Powdery mildew, caused by Blumeria graminis f. sp. tritici (Bgt), is a severe disease that affects the yield and quality of wheat. Popularization of resistant cultivars in production is the preferred strategy to control this disease. In the present study, the Chinese wheat breeding line Jimai 809 showed excellent agronomic performance and high resistance to powdery mildew at the whole growth stage. To dissect the genetic basis for this resistance, Jimai 809 was crossed with the susceptible wheat cultivar Junda 159 to produce segregation populations. Genetic analysis showed that a single dominant gene, temporarily designated PmJM809, conferred the resistance to different Bgt isolates. PmJM809 was then mapped on the chromosome arm 2BL and flanked by the markers CISSR02g-1 and CIT02g-13 with genetic distances 0.4 and 0.8 cM, respectively, corresponding to a physical interval of 704.12-708.24 Mb. PmJM809 differed from the reported Pm genes on chromosome arm 2BL in origin, resistance spectrum, physical position and/or genetic diversity of the mapping interval, also suggesting PmJM809 was located on a complex interval with multiple resistance genes. To analyze and screen the candidate gene(s) of PmJM809, six genes related to disease resistance in the candidate interval were evaluated their expression patterns using an additional set of wheat samples and time-course analysis post-inoculation of the Bgt isolate E09. As a result, four genes were speculated as the key candidate or regulatory genes. Considering its comprehensive agronomic traits and resistance findings, PmJM809 was expected to be a valuable gene resource in wheat disease resistance breeding. To efficiently transfer PmJM809 into different genetic backgrounds, 13 of 19 closely linked markers were confirmed to be suitable for marker-assisted selection. Using these markers, a series of wheat breeding lines with harmonious disease resistance and agronomic performance were selected from the crosses of Jimai 809 and several susceptible cultivars. Supplementary Information: The online version contains supplementary material available at 10.1007/s11032-024-01467-8.

Pulmonary sarcoid-like granulomatosis induced by aluminum dust: A case report and literature review.

Case report: We present a case of a 48-year-old woman with 27 months of exposure to aluminum dust and silica owing to polishing processing. The patient was admitted to our hospital with intermittent cough and expectoration. Chest high-resolution computed tomography showed diffuse ill-defined centrilobular nodules and patchy ground-glass opacities in bilateral lungs. A video-assisted thoracoscopic surgery biopsy demonstrated multiple isolated and confluent granulomas in an otherwise normal parenchyma without malignancy or signs of infection. Elemental analysis was performed on the grinding wheel powder in the workplace using an X-ray fluorescence spectrometric analyzer, showing 72.7% of Al2O3 and 22.8% of SiO2 as raw materials. She was diagnosed with aluminum-associated sarcoid-like granulomatous lung disease, rather than sarcoidosis, according to occupational exposure by a multidisciplinary panel. Conclusion: Occupational aluminum dust exposure may induce pulmonary sarcoid-like granulomatosis recognized by a multidisciplinary diagnostic panel.

Plasmon enhanced catalysis-driven nanomotors with autonomous navigation for deep cancer imaging and enhanced radiotherapy.

Radiosensitizers potentiate the radiotherapy effect while effectively reducing the damage to healthy tissues. However, limited sample accumulation efficiency and low radiation energy deposition in the tumor significantly reduce the therapeutic effect. Herein, we developed multifunctional photocatalysis-powered dandelion-like nanomotors composed of amorphous TiO2 components and Au nanorods (∼93 nm in length and ∼16 nm in outer diameter) by a ligand-mediated interface regulation strategy for NIR-II photoacoustic imaging-guided synergistically enhanced cancer radiotherapy. The non-centrosymmetric nanostructure generates stronger local plasmonic near-fields close to the Au-TiO2 interface. Moreover, the Au-TiO2 Schottky heterojunction greatly facilitates the separation of photogenerated electron-hole pairs, enabling hot electron injection, finally leading to highly efficient plasmon-enhanced photocatalytic activity. The nanomotors exhibit superior motility both in vitro and in vivo, propelled by H2 generated via NIR-catalysis on one side of the Au nanorod, which prevents them from returning to circulation and effectively improves the sample accumulation in the tumor. Additionally, a high radiation dose deposition in the form of more hydroxyl radical generation and glutathione depletion is authenticated. Thus, synergistically enhanced radiotherapeutic efficacy is achieved in both a subcutaneous tumor model and an orthotopic model.

[Effects of Biochar Application on Yellow Soil Nutrients and Enzyme Activities].

Due to its special physical and chemical properties, biochar is widely used as a multi-beneficial amendment to improve soil quality. Soil nutrient content and enzyme activities are important chemical and biological factors indicating soil quality. Despite increased interest and studies, a knowledge gap remains regarding the ability of biochar to assess soil nutrient content and enzyme activities due to differences in biochar application amount and soil texture. In the present study, the effects of different amounts of biochar application (CK:0 t·hm-2, B5:5 t·hm-2, B10:10 t·hm-2, B20:20 t·hm-2, and B50:50 t·hm-2) on soil nutrient content and enzyme activities were studied based on a field experiment on typical yellow soil in Guizhou province, southwest China. Structural equation models (SEM) were used to quantitatively evaluate the direct or indirect effects of biochar application on soil nutrient content and enzyme activities. The results showed that soil pH, electrical conductivity (EC), soil organic carbon (SOC), alkaline hydrolysis nitrogen (AHN), available phosphorus (AP), and available potassium (AK) increased with the applied amount of biochar. With the increase in biochar application amount, the activities of soil catalase and urease showed first an increasing and then a decreasing trend, and the activities of soil sucrase and phosphatase showed an almost constant increasing trend (P<0.05). The highest activities of soil catalase, urease, and phosphatase were recorded under treatment B10. A relatively high activity of soil sucrose was also observed under treatment B10. With the same amount of biochar application, soil pH and the content of soil AHN, AP, and AK in treatments after four months of biochar application were greater than those after 12 months. After 12 months of biochar application treatment, the contents of SOC and EC were greater than those at four months. Compared to those in treatments after four months of biochar application, activities of soil urease and phosphatase increased, activities of soil catalase decreased, and activities of soil sucrose did not obviously change after 12 months of biochar application. The results of SEM showed that biochar application directly decreased activities of soil catalase and indirectly promoted activities of soil sucrase and phosphatase by increasing soil pH, EC, AHN, AK, and AP. In conclusion, the amount and duration of biochar application significantly increased soil nutrient content, directly and indirectly affecting soil enzyme activities. Based on the results of the presents study, biochar application at 10 t·hm-2 was recommended for acidic yellow soil.

Synergistic effects of thalidomide and cisplatin are mediated via the PI3K/AKT and JAK1/STAT3 signaling pathways in cervical cancer.

Thalidomide (THD) has been found to synergize with cisplatin (DDP) in certain types of cancers; however, their combined use in the treatment of cervical cancer has not been reported to date, at least to the best of our knowledge. Thus, the present study aimed to explore the synergistic effects of THD and DDP and determine their regulatory effects on the phosphoinositide 3­kinase (PI3K)/protein kinase B (AKT) and Janus kinase 1 (JAK1)/signal transducer and activator of transcription 3 (STAT3) pathways in cervical cancer. For this purpose, 0­160 µM THD and 0­64 µM DDP monotherapy or in combination were used to treat the HeLa and SiHa cervical cancer cell lines. This was followed by the calculation of the combination index (CI) and 160 µM THD and 16 µM DDP were then used to treat the cells. Relative cell viability and apoptosis, as well as the mRNA and protein levels of PI3K, AKT, JAK1 and STAT3 were evaluated. The results revealed that THD and DDP monotherapy suppressed the viability of the HeLa and SiHa cells in a concentration­dependent manner. Moreover, THD and DDP treatment exerted a more prominent suppressive effect on the relative viability of HeLa and SiHa cells compared with DDP monotherapy at several concentration settings; further CI calculation revealed that the optimal synergistic concentrations were 160 µM for THD and 16 µM for DDP. Subsequently, combined treatment with THD and DDP suppressed relative cell viability, whereas it promoted cell apoptosis compared with THD or DPP monotherapy; it also inhibited the PI3K/AKT and JAK1/STAT3 signaling pathways compared with DPP or THD monotherapy in both HeLa and SiHa cells. On the whole, the present study demonstrated that THD synergizes with DDP to exert suppressive effects on cervical cancer cell lines. This synergistic action also inactivated the PI3K/AKT and JAK1/STAT3 pathways. Thus, these findings suggest that the combined use of THD and DPP may have potential for use in the treatment of cervical cancer.

First report of green mold disease caused by Penicillium citrinum on Dictyophora rubrovalvata in China.

Dictyophora rubrovolvata is a saprophytic mushroom widely cultivated in China, including Guizhou Province for its high nutritional, medicinal, and economical values (Chen et al. 2021). In May 2021, green mold disease was observed on the fruiting bodies of D. rubrovolvata, causing its death or preventing it from forming a sporocarp, in an indoor-production facility at Asuo village, Baiyun District Guiyang city, Guizhou Province, China (26°73'51" N, 106°72'88" E). The disease incidence was 60%-70% in the affected 1.33-ha growing area, causing a serious economic loss. To identify the causal agent, a total of 15 samples with symptomatic symptoms were collected. Small pieces (5 mm × 5 mm) were cut from the diseased tissues, surface sterilized in 0.4% NaClO for 5 min, washed three times with sterilized water, placed on potato dextrose agar (PDA) medium, and incubated at 24 °C for 7 days. Twenty-one pure cultures were obtained by single-spore isolation method. The colonies were initially white but after seven days as conidia developed they turned green. Hyphae were hyaline and guttulate. Conidiophores were verrucose stipes, triverticulate, and phialides flask shaped. Conidia were smooth and pale green, with subglobose to globose shape measuring 2.0-2.5 × 1.8-2.5 µm (n=50). Based on these morphological characteristics, the isolates matched the description of the genus Penicillium (Visagie et al. 2014). To confirm the identity, DNA of five representative isolates (QS001, QS005, QS008, QS015, QS017) was extracted according to the manufacturer's instructions (Biomiga Fungal DNA Extraction Kit; CA, USA). Afterwards, PCR was performed to amplify ITS region, calmodulin and ß-tubulin genes using primer pairs ITS1/ITS4 (White et al. 1990), CMD5/CMD6 (Glass et al. 1995), and Bt2a/Bt2b (Hong et al. 2006), respectively. BLASTN analysis of these sequences showed the best matches with Penicillium citrinum CBS 139.45 (ITS region: 98.60% (493/500 bp) identity to accession MH856132.1; CMD: 99.79% (469/470 bp) identity to accession MN969245.1; ß-tubulin:100% (407/407 bp) identity to accession GU944545.1). Representative sequences of the sequenced DNA regions were deposited in GenBank (ITS region: OK446552; CMD: OK492612; ß-tubulin: OK482677). Furthermore, a phylogenetic tree was constructed with MEGA 7 based on the concatenated sequences. Koch's postulates were met to confirm the pathogenicity of the representative isolate (QS001) on D. rubrovolvata. Six discs (5mm×5mm) from actively growing P. citrinum QS001 colonies (5-day-old) were placed on six fruiting bodies of D. rubrovolvata (5-month-old). Mock inoculations were performed using PDA discs only without any fungus. The inoculation sites were wrapped with a sterilized 200-µm nylon mesh. All fruiting bodies were incubated at 23°C ± 2°C under a 0-h/24-h photoperiod and 80% relative humidity (RH) after inoculation. After 14 days, green mold was observed on all P. citrinum QS001 inoculated mushrooms. In contrast, no disease was observed in mock inoculated group. The disease assays were repeated three times. P. citrinum QS001 was isolated from all inoculated D. rubrovolvata and verified via the molecular analysis mentioned above. To the best of our knowledge, this is the first report that P. citrinum causes green mold on D. rubrovalvata in China and further studies should focus on managing this disease to prevent any disease outbreaks.

The Impact of Mothers' Perceived Unsupportive Intergenerational Co-Parenting on Children's Social Competence: Evidence from China.

This study examined whether parenting styles mediated the relationship between unsupportive intergenerational co-parenting and children's social competence, and whether the first stage of the mediating process, as well as the direct association between unsupportive intergenerational co-parenting and children's social competence, was moderated by maternal psychological flexibility. The theoretical model was tested using data collected from 412 mothers of children aged 3-6 years at four kindergartens in Shanghai, China. The results showed that: (1) unsupportive intergenerational co-parenting was negatively associated with children's social competence through decreased maternal authoritative parenting and increased authoritarian parenting and (2) the first stage of the mediation mechanism was moderated by maternal psychological flexibility. Specifically, unsupportive intergenerational co-parenting was significantly associated with authoritative and authoritarian parenting for mothers with low and high psychological flexibility, respectively, and the magnitude of the association was higher for mothers with low psychological flexibility. These findings extend the understanding of how and when unsupportive intergenerational co-parenting impacts children's social competence.

Preoperative Rim Enhancement on Magnetic Resonance Imaging Indicates Larger Tumor Size and Poor Prognosis in Chinese Basal-Like Breast Cancer Patients.

Background: This study was to investigate the prevalence of preoperative rim enhancement, and its association with clinicopathological features, relapse, and survival profiles in Chinese basal-like breast cancer (BC) patients. Materials and Methods: The preoperative breast magnetic resonance imaging images of 145 basal-like BC patients who underwent surgical excision were obtained to determine rim enhancement. Besides, based on disease status and survival status during follow-up, the 1-year relapse rate/mortality, 3-year relapse rate/mortality, 5-year relapse rate/mortality were calculated; disease-free survival (DFS) and overall survival (OS) were determined. Results: There were 51 (35.2%) patients with rim enhancement and 94 (64.8%) patients without rim enhancement. Furthermore, rim enhancement was associated with larger tumor size and advanced T stage, whereas it did not associate with age, pathological differentiation, N stage, or TNM stage. In addition, rim enhancement was associated with higher 1-, 3-, and 5-year relapse rate and shorter DFS; meanwhile, rim enhancement was associated with increased 1-, 3-, and 5-year mortality rate and decreased OS. By multivariate Cox's regression analyses, rim enhancement, pathological differentiation, and N stage independently predicted reduced DFS; T stage independently predicted declined OS. Conclusion: Preoperative rim enhancement on MRI might be a possible noninvasive indicator for guiding personalized treatment strategies and improving prognosis in Chinese basal-like BC patients.

Chitin deacetylase 2 is essential for molting and survival of Tetranychus urticae.

Chitin metabolism has long been considered promising targets for development of biorational pesticides. Considering the increasing challenges of controlling the twospotted spider mite, Tetranychus urticae Koch, the roles of chitin deacetylases (CDAs) during molting process and mite development are explored. TuCDA1 and TuCDA2 differ in expression patterns during the development process. Feeding of double-strand RNA (dsRNA) against TuCDA1 or TuCDA2 has lethal effects on the mites. Especially TuCDA2 displays a much stronger phenotype than TuCDA1 (p = 0.0003). The treated mites fail to shed the old cuticle and are trapped within exuviate until they die. The aberrant cuticle structure observed by scanning electronmicroscopy (SEM) and transmission electron microscopy (TEM) may be responsible for the lethal phenotype of TuCDA1 and TuCDA2 knocked down mites. However, treatment with both dsRNA-CDA1 and dsRNA-CDA2 cannot significantly enhance the lethal effects of dsRNA-CDA2, which indicates partially redundant function of TuCDA1 and TuCDA2. TuCDA2 may play a key role during the molting and development process. Chitin-modifying enzyme such as TuCDA2 is potential target of RNA interference through feeding.

An Adaptive Design for Item Parameter Online Estimation and Q-Matrix Online Calibration in CD-CAT.

The implementation of cognitive diagnostic computerized adaptive testing often depends on a high-quality item bank. How to online estimate the item parameters and calibrate the Q-matrix required by items becomes an important problem in the construction of the high-quality item bank for personalized adaptive learning. The related previous research mainly focused on the calibration method with the random design in which the new items were randomly assigned to examinees. Although the way of randomly assigning new items can ensure the randomness of data sampling, some examinees cannot provide enough information about item parameter estimation or Q-matrix calibration for the new items. In order to increase design efficiency, we investigated three adaptive designs under different practical situations: (a) because the non-parametric classification method needs calibrated item attribute vectors, but not item parameters, the first study focused on an optimal design for the calibration of the Q-matrix of the new items based on Shannon entropy; (b) if the Q-matrix of the new items was specified by subject experts, an optimal design was designed for the estimation of item parameters based on Fisher information; and (c) if the Q-matrix and item parameters are unknown for the new items, we developed a hybrid optimal design for simultaneously estimating them. The simulation results showed that, the adaptive designs are better than the random design with a limited number of examinees in terms of the correct recovery rate of attribute vectors and the precision of item parameters.

Test Assembly for Cognitive Diagnosis Using Mixed-Integer Linear Programming.

One purpose of cognitive diagnostic model (CDM) is designed to make inferences about unobserved latent classes based on observed item responses. A heuristic for test construction based on the CDM information index (CDI) proposed by Henson and Douglas (2005) has a far-reaching impact, but there are still many shortcomings. He and other researchers had also proposed new methods to improve or overcome the inherent shortcomings of the CDI test assembly method. In this study, one test assembly method of maximizing the minimum inter-class distance is proposed by using mixed-integer linear programming, which aims to overcome the shortcomings that the CDI method is limited to summarize the discriminating power of each item into a single CDI index while neglecting the discriminating power for each pair of latent classes. The simulation results show that compared with the CDI test assembly and random test assembly, the new test assembly method performs well and has the highest accuracy rate in terms of pattern and attributes correct classification rates. Although the accuracy rate of the new method is not very high under item constraints, it is still higher than the CDI test assembly with the same constraints.

Artesunate: A natural product-based immunomodulator involved in human complement.

Complement is an important innate immune defence machinery. Once dysregulated, it is often linked to pathogenesis of diverse autoimmune diseases. Artesunate (ART) is a well-known anti-malarial compound. Recently, ART has been highlighted by its potential therapeutic effects on certain complement-related autoimmune diseases. However, the underlying mechanisms are hitherto unknown. In the present study, we found that ART mediated complement interception as validated by analysis of complement haemolytic assay. In cell-based setup using dying Jurkat cells, ART-mediated complement interception was also confirmed. Further, we newly established an ELISA system selectively allowing complement activation via the classical pathway, the lectin pathway and the alternative pathway, respectively. ELISA analysis revealed that ART dose-dependently inhibited C4 activation, C3 activation and terminal complement complex assembly via the effector pathways. ART was found to blockade C1q, C3 and C5 with a lesser extent to properdin. The interaction of ART with C1q was determined to be mediated via C1q globular head region. FACS analysis using ART-conjugated mesoporous silica particles revealed that ART specifically bound the key therapeutic targets of C1q, C3 and C5 on microparticles. In conclusion, we for the first time report the anti-complement bioactivities of ART and suggest a potential therapeutic benefit of ART in the complement-related human diseases.

The Efficacy of Non-Vitamin K Antagonist Oral Anticoagulants in the Prevention of Left Atrial Thrombus in Patients With Atrial Fibrillation Compared With Vitamin K Antagonists: A Meta-Analysis.

BACKGROUND: There is still a paucity of data on the efficacy of non-vitamin K antagonist oral anticoagulants (NOACs) in the prevention of left atrial thrombus (LAT) formation before cardioversion or catheter ablation. To assess the efficacy of NOACs in the prevention of LAT in patients with non-valvular atrial fibrillation (NVAF) compared with vitamin K antagonists (VKAs), we conducted a meta-analysis. METHODS: We searched PubMed, Embase, and the Cochrane Library databases. For meta-analysis, dichotomous variables were analyzed by using the odds ratios (OR) computed using the Mantel Haenszel method (random models). All results were reported with 95% confidence intervals (CI). RESULTS: A total of 13 studies (one randomized controlled investigation and 12 observational studies) were included in the meta-analysis. There was no statistically significant difference between the NOACs and VKAs groups with respect to the odds of LAT/LAAT formations (OR 0.79; 95% CI: 0.52-1.21; P = .29; (I2 = 14%). CONCLUSIONS: NOACs were as effective as VKAs in the prevention of LAT/LAAT formation in patients with NVAF. Though patients on NOACs therapy showed a lower incidence of LAT/LAAT formation compared with VKAs, it was not significant (P = .29).

A Semi-supervised Learning Method for Q-Matrix Specification Under the DINA and DINO Model With Independent Structure.

Cognitive diagnosis assessment (CDA) can be regarded as a kind of formative assessments because it is intended to promote assessment for learning and modify instruction and learning in classrooms by providing the formative diagnostic information about students' cognitive strengths and weaknesses. CDA has two phases, like a statistical pattern recognition. The first phase is feature generation, followed by classification stage. A Q-matrix, which describes the relationship between items and latent skills, corresponds to the feature generation phase in statistical pattern recognition. Feature generation is of paramount importance in any pattern recognition task. In practice, the Q-matrix is difficult to specify correctly in cognitive diagnosis and misspecification of the Q-matrix can seriously affect the accuracy of the classification of examinees. Based on the fact that any columns of a reduced Q-matrix can be expressed by the columns of a reachability R matrix under the logical OR operation, a semi-supervised learning approach and an optimal design for examinee sampling were proposed for Q-matrix specification under the conjunctive and disjunctive model with independent structure. This method only required subject matter experts specifying a R matrix corresponding to a small part of test items for the independent structure in which the R matrix is an identity matrix. Simulation and real data analysis showed that the new method with the optimal design is promising in terms of correct recovery rates of q-entries.

Soluble collectin-12 mediates C3-independent docking of properdin that activates the alternative pathway of complement.

Properdin stabilizes the alternative C3 convertase (C3bBb), whereas its role as pattern-recognition molecule mediating complement activation is disputed for decades. Previously, we have found that soluble collectin-12 (sCL-12) synergizes complement alternative pathway (AP) activation. However, whether this observation is C3 dependent is unknown. By application of the C3-inhibitor Cp40, we found that properdin in normal human serum bound to Aspergillus fumigatus solely in a C3b-dependent manner. Cp40 also prevented properdin binding when properdin-depleted serum reconstituted with purified properdin was applied, in analogy with the findings achieved by C3-depleted serum. However, when opsonized with sCL-12, properdin bound in a C3-independent manner exclusively via its tetrameric structure and directed in situ C3bBb assembly. In conclusion, a prerequisite for properdin binding and in situ C3bBb assembly was the initial docking of sCL-12. This implies a new important function of properdin in host defense bridging pattern recognition and specific AP activation.

[Research progress on the effects of biochar application on soil fauna community]. / æ–½ç”¨ç”Ÿç‰©ç‚­å¯¹åœŸå£¤åŠ¨ç‰©ç¾¤è½çš„å½±å“ç ”ç©¶è¿›å±•.

Soil fauna is an indispensable component of soil biotic communities and an important biological driver controlling soil ecological processes. Exploring the effect of biochar on soil fauna community and their relationship, is of great significance to understand the ecological process and services of soil ecosystem. We reviewed the changes and possible mechanisms of soil fauna community to biochar application. The effect of biochar application on soil fauna was caused directly by the difference of raw material, carbonization temperature, and application amount, and indirectly by the changes of biotic factor, including changes of plant physiological characters and microbe biomass, and changes of abiotic parameters (e.g. soil physiochemical characters). The growth, reproduction and behavior of soil fauna could be promoted under low amount of biochar application (mass ratio <5%). In contrast, toxicity effect occurred with a heavy application (>10%). Meanwhile, activities of soil fauna would affect the stability of biochar, and its ecological and environmental role. A road map for future researches about biochar and soil fauna interaction must focus on long-term field studies, spatial and temporal variation, merge of multi-discipline, and comprehensive analysis and prediction.

Photocatalytic degradation of diphenhydramine in aqueous solution by natural dolomite.

Natural dolomite, an inexpensive and vastly available natural material, was demonstrated as a potential heterogeneous photocatalyst for the efficient removal of diphenhydramine (DP) from aqueous solution under simulated solar light in this study. About 65% DP removal and 14% mineralization were achieved with dolomite as a catalyst after 75 min irradiation. The electron spin resonance analysis and scavenger experiments verified that 1O2, ˙OH, and O2 -˙ produced in the dolomite system were the main reactive species responsible for DP degradation. Furthermore, first-principle calculations combined with deoxygenation experiments were employed to elucidate the photocatalytic mechanism. The results revealed that the dolomite changed from an insulator to a semiconductor after partial substitution of Mg2+ by Fe2+, suggesting that natural dolomite could act as a semiconductor photocatalyst in photoreactions. Under irradiation, photo-excited electrons and holes separate and migrate to the surface of dolomite, and subsequently react to form reactive species resulting in the DP degradation. Product studies demonstrated that the main degradation pathways of DP included hydroxylation of the aromatic ring as well as hydroxyl radical mediated oxidation of the alkylamine side chain. This work indicated that natural dolomite could be applied in water and wastewater treatment as a promising photocatalyst.

Enhanced photodegradation of diphenhydramine in aqueous solution containing natural sand particles.

Understanding the effects of natural solid particles on the phototransformation of pharmaceuticals in aqueous environments is very important, but studies on this are still limited. In this study, natural sands were selected as a solid particle model due to their wide distribution in surface waters during the rainy season, and the phototransformation of diphenhydramine (DP) in the presence of the sands was investigated. The kinetic studies showed that the natural sands exhibited significant photocatalytic activity for the DP photodegradation, and the activity varied depending on their sources. Scavenging experiments and electron paramagnetic resonance analysis demonstrated that O2 -˙ and ˙OH were produced in the irradiated natural sand systems, and O2 -˙ played a more important role than ˙OH in the photodegradation of DP. The results obtained from H2O2 treatment and deoxygenation experiments verified that the generation of radicals was mainly attributed to the low content of natural organic matter (NOM) in the sands. The possible reaction mechanism was that the NOM in the sands was excited and became triplet-state NOM after irradiation, and then induced the generation of free radicals through an electron transfer mechanism, resulting in DP oxidation. This work indicated that natural sand particles were a key factor affecting the phototransformation of drugs, and should be considered in evaluating their fate in natural waters.

Temporal evolution characteristics of PM2.5 concentration based on continuous wavelet transform.

Fine particulate matter (PM2.5) is an important haze index, and the researches on the evolutionary characteristics of the PM2.5 concentration will provide a fundamental and guiding prerequisite for the haze prediction. However, the past researchers were usually based on the overall time-domain evolution information of PM2.5. Since the temporal evolution of PM2.5 concentration is nonstationary, previous studies might neglect some important localization features that the evolution has various predominant periods at different scales. Therefore, we applied the wavelet transform to study the localized intermittent oscillations of PM2.5. First, we analyze the daily average PM2.5 concentration collected from the automatic monitoring stations. The result reveals that the predominant oscillation period does vary with time. There exist multiple oscillation periods on the scale of 14-32 d, 62-104 d, 105-178 d and 216-389 d and the 298d is the first dominant period in the entire evolutionary process. Moreover, we want to figure out whether the temporal characteristics of PM2.5 in the days with heavy haze also have localized intermittent periodicities. We select the hourly average PM2.5 concentration in 120 h when the haze pollution is serious. We find that the principal period has experienced two abrupt shifts and the energy at the 63-hour scale is the most powerful. The results in these two independent analyses come into the same conclusion that the multiscale features shown in the temporal evolution of PM2.5 cannot be ignored and may play an important role in the further haze prediction.