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Biological pretreatment of rice straw and production of reducing sugars by hydrolysis of bio-pretreated material with Streptomyces griseorubens JSD-1 was investigated. After 10 days of incubation, various chemical compositions of inoculated rice straw were degraded and used for further enzymatic hydrolysis studies. The production of cellulolytic enzyme by S. griseorubens JSD-1 favored the conversion of cellulose to reducing sugars. The culture medium for cellulolytic enzyme production by using agro-industrial wastes was optimized through response surface methodology. According to the response surface analysis, the concentrations of 11.13, 20.34, 4.61, and 2.85 g L−1 for rice straw, wheat bran, peptone, and CaCO3, respectively, were found to be optimum for cellulase and xylanase production. Then the hydrolyzed spent Streptomyces cells were used as a nitrogen source and the maximum filter paper cellulase, carboxymethylcellulase, and xylanase activities of 25.79, 78.91, and 269.53 U mL−1 were achieved. The crude cellulase produced by S. griseorubens JSD-1 was subsequently used for the hydrolysis of bio-pretreated rice straw, and the optimum saccharification efficiency of 88.13% was obtained, indicating that the crude enzyme might be used instead of commercial cellulase during a saccharification process. These results give a basis for further study of bioethanol production from agricultural cellulosic waste. [ABSTRACT FROM AUTHOR]

Breast cancer is one of the most common malignancies in women, and exhibits high metastasis, recurrence and fatality rates. Novel therapies for breast cancer are constantly emerging, such as targeted therapy, oncolytic virotherapy, and immunotherapy. Despite their potential, these new therapies are still in their infancy, and chemotherapy remains the standard treatment for breast cancer. Therefore, it is of great significance to develop safe and efficient treatment drugs or adjuvants for breast cancer treatment. Traditional Chinese medicine (TCM) has a long clinical history in China, in which Scutellaria baicalensis Georgi exhibits favorable antibreast cancer activities. We therefore conducted a systematic review of the available literature to better understand the molecular mechanisms of S. baicalensis in breast cancer treatment. S. baicalensis and its active components (baicalein, baicalin, wogonin, wogonoside, oroxylin A and scutellarin) exhibited promising antibreast cancer activity through proliferation inhibition, apoptosis induction, invasion and metastasis blockading, and drug-resistance and non-coding RNA regulation. Additionally, senescence, autophagy, angiogenesis, and glycolysis mechanisms were observed to play a role in their antibreast cancer activity. Furthermore, multiple signaling pathways contributed to the antitumor effects of S. baicalensi, such as the NF- κ B, Wnt/ β -catenin, SATB1, Bcl2 family proteins, Caspase, PI3K/Akt, mTOR, ERK, p38-MAPK, TGF- β /Smad, and Hippo/YAP pathways. This review provides valuable insights into the role of S. baicalensis as a breast cancer treatment and acts as a foundation for further investigations in this field. [ABSTRACT FROM AUTHOR]

Diatoms, known as photosynthetic unicellular algae, can produce natural biosilica frustules that exhibit great biocompatibility, superhydrophilicity, and superhemophilicity. In our study, the diatom Navicula australoshetlandica sp. was isolated from aquaculture wastewater and pretreated to obtain frustules so as to explore their hemostasis characteristics. A special "porous web" (6–8 nm) substructure in the ordered nanopores (165–350 nm) of boat-shaped diatom frustule was observed in Navicula australoshetlandica sp. using SEM and TEM analysis. Moreover, X-ray, N2 adsorption–desorption isotherms, and BET analysis showed that the diatom frustule is a mesoporous material with a surface area of 401.45 m2 g−1 amorphous silica. FTIR analysis showed that Navicula australoshetlandica sp. frustules possessed abundant OH functional groups. A low hemolysis ratio was observed for 1–5 mg mL−1 diatom frustules that did not exceed 1.55 ± 0.06%, which indicates favorable hemocompatibility. The diatom frustules exhibited the shortest clotting time (134.99 ± 7.00 s) with a hemostasis material/blood (mg/μL) ratio of 1:100, which is 1.83 times (112.32 s) shorter than that of chitosan. The activated partial thromboplastin time (aPTT) of diatom frustule was also 44.53 s shorter than the control. Our results demonstrate the potential of Navicula australoshetlandica sp. diatom frustules to be used as medical hemostasis material. [ABSTRACT FROM AUTHOR]

Mid-water structures (MWSs) have important applications in the ocean to minimize the effects of environmental factors in the surface ocean and to avoid the effects of high pressure on the seabed. However, their operational positions are vulnerable to internal solitary waves (ISWs), which poses a significant challenge to the safe functioning of MWSs. Consequently, there is a pressing need to explore the flow field characteristics surrounding MWSs under the action of ISWs to establish a reliable foundation for structural design. In this study, experimental investigations were conducted to analyze the flow fields induced by ISWs acting on MWSs, employing the particle image velocimetry (PIV) method. The intricate details of the flow fields around the structure were thoroughly analyzed, and the impact of the structure's submerged depth on the ISW-induced flow fields was discussed. A machine learning approach is utilized to develop an Artificial Neural Network (ANN) model aimed at predicting the flow fields of ISWs. The experimental results are compared and analyzed alongside the predicted outcomes, focusing on the anomaly region, the tail field region, and the occluded region. The results show that the presence of the structure complicates the flow characteristics in the tail flow regions, and the flow patterns are constantly changing. The characteristics of the ISW flow fields around the structure vary with the different submerged depths of the MWS. Positioning the MWS above the wave trough results in an ascending trend followed by a descending trend in the strength of the surrounding flow field with increasing submerged depth. The ANN predictions for different types of regions of the flow fields show satisfactory accuracy. The model closely matches the PIV results in predicting the extremes and positions of horizontal velocities in the tail flow fields at different stages of ISW trough propagation. The ANN model can be recommended for predicting the flow fields of ISWs acting on MWSs. This study offers comprehensive insights into the characteristics of the flow fields induced by ISWs acting on MWSs, emphasizing the valuable contribution of machine learning methods to the field of fluid dynamics. • The flow field characteristics around the mid-water structure under the action of ISWs are revealed by PIV experiments. • The ISW-induced flow field exhibits different characteristics as the MWS submerged depth changes. • The ANN model effectively overcomes PIV experiment limits, accurately predicting the ISW-induced flow field on the MWS. [ABSTRACT FROM AUTHOR]

Rape (Brassica napus) is an important oilseed crop widely cultivated worldwide. Due to its relatively short evolutionary and domestication history, its intra-species genetic diversity is limited. Radish (Raphanus sativus), belonging to a different genus but the same family as B. nupus, possesses an abundance of excellent gene resources. It is commonly used for B. nupus germplasm improvement and genetic basis expansion, making it one of the most important close relatives for distant hybridization. In the present study, a novel method for detecting alien chromosome fragments, called Anchor Mapping of Alien Chromosome (AMAC) was used to identify radish chromosome segments in the progeny of rape–radish interspecific hybrids. Based on the AMAC method, 126,861 pairs of IP (Intron Polymorphism) and 76,764 pairs of SSR (Simple Sequence Repeat) primers were developed using the radish Rs1.0 reference genome. A total of 44,176 markers (23,816 pairs of IP and 20,360 pairs of SSR markers) were predicted to be radish genome specific-single-locus (SSL) markers through electronic PCR analysis among four R. sativus, one B. napus, one B. rapa, one B. juncea, and one B. juncea reference genome. Among them, 626 randomly synthesized SSL markers (478 SSL IP markers and 148 SSL SSR markers) were used to amplify the genome of 24 radish samples (R. sativus), 18 rape (B. napus), 2 Chinese cabbage (B. rapa), 2 kale (B. oleracea), and 2 mustard (B. juncea) samples, respectively. Then, 333 SSL markers of the radish genome were identified, which only amplified in the radish genome and not in any Brassica species genome, including 192 IP markers and 141 SSR markers. Furthermore, these validated SSL markers were used to identify alien chromosome fragments in Ogura-CMS restorer line 16C, Ogura-CMS sterile line 81A, and their hybrid-Yunyouza15. In 16C, one marker, Rs1.0025823_intron_3, had an amplification product designated as anchor marker for the alien chromosome fragment of 16C. Afterwards, four novel radish genome-specific IP markers were found to be flanking the anchor marker, and it was determined that the alien chromosome segment in 16C originated from the region 8.4807–11.7798 Mb on radish chromosome R9, and it was approximately 3.2991 Mb in size. These results demonstrate that the AMAC method developed in this study is efficient, convenient, and cost-effective for identifying excellent alien chromosome fragments/genes in distant hybrid progeny, and it can be applied to the molecular marker-assisted breeding and hybrid identification of radish and Brassica crop species. [ABSTRACT FROM AUTHOR]

Negative Air Ions (NAIs), essential for environmental and human health, facilitate air purification and offer antimicrobial benefits. Our study achieves hourly estimations of NAIs using a machine learning framework, developed from a multi‐layer selection pipeline of over 200 variables, to identify the key determinants critical for adapting to high‐resolution NAIs dynamics. Addressing site sparsity and NAIs volatility, we introduced a hybrid stacking incorporating pseudo sites generated from Kriging Spatiotemporal Augmentation (KSTA) to mitigate spatial overfitting. Our approach, validated in Zhejiang, China, demonstrates exceptional accuracy, achieving R2 values of 0.90 (sample‐based), 0.85 (temporal‐based), and 0.79 (site‐based). This work not only sheds light on NAIs behavior in relation to diurnal shifts, land use, and environmental events, but also integrates a health grading system, enhancing public health strategies through precise air quality assessment. Plain Language Summary: Our study advances the environmental science by developing a machine‐learning model capable of estimation the hourly concentrations of negative air ions (NAIs) across Zhejiang Province, China. NAIs, vital for air purification and human health, are significantly related to environmental conditions. Taking advantage of a novel approach that reduces errors commonly seen in similar models, we provide a highly accurate, hour‐by‐hour analysis of air quality. Our research goes beyond mere prediction; it investigates how various factors like vegetation, soil type, and weather events influence NAI levels. The insights gained offer a comprehensive view of how NAI distribution changes over time and across different landscapes, informing environmental policy and public health strategies with precise air quality assessments. This study contributes significantly to the field by introducing an essential tool for continuous environmental monitoring, thereby facilitating more effective decision‐making in environmental and public health sectors. Key Points: A hybrid stacking machine learning framework shows superior accuracy (R2 = 0.90), combing a filter pipeline dealing with more than 200 variablesKriging Spatiotemporal Augmentation (KSTA) as a pseudo‐label strategy to resolve spatial overfitting due to sparse sitesAn hourly estimate of NAIs reveals NAIs dynamics correlations with environmental factors and land use, supporting public health policy [ABSTRACT FROM AUTHOR]

Thraustochytrids are eukaryotes and obligate marine protists. They are increasingly considered to be a promising feed additive because of their superior and sustainable application in the production of health-benefiting bioactive compounds, such as fatty acids, carotenoids, and sterols. Moreover, the increasing demand makes it critical to rationally design the targeted products by engineering industrial strains. In this review, bioactive compounds accumulated in thraustochytrids were comprehensively evaluated according to their chemical structure, properties, and physiological function. Metabolic networks and biosynthetic pathways of fatty acids, carotenoids, and sterols were methodically summarized. Further, stress-based strategies used in thraustochytrids were reviewed to explore the potential methodologies for enhancing specific product yields. There are internal relationships between the biosynthesis of fatty acids, carotenoids, and sterols in thraustochytrids since they share some branches of the synthetic routes with some intermediate substrates in common. Although there are classic synthesis pathways presented in the previous research, the metabolic flow of how these compounds are being synthesized in thraustochytrids still remains uncovered. Further, combined with omics technologies to deeply understand the mechanism and effects of different stresses is necessary, which could provide guidance for genetic engineering. While gene-editing technology has allowed targeted gene knock-in and knock-outs in thraustochytrids, efficient gene editing is still required. This critical review will provide comprehensive information to benefit boosting the commercial productivity of specific bioactive substances by thraustochytrids. Thraustochytrids are considered a promising and sustainable nutrient source for long-chain unsa turated fatty acids, carotenoids, and sterols production with impressive biosynthetic capacity. The interactive relationships between the biosynthesis and metabolism flows of fatty acids, carotenoids, and sterols are summarized. The comprehensive information of multi-omics including genome, transcriptome, proteome, and metabolism for various species of Thraustochytrids has also been concluded. Potential gene-engineering methodologies for enhancing bioactive substance yields are explored. [ABSTRACT FROM AUTHOR]

[Display omitted] • DTT-o could be used for naked-eye and fluorescent detection of Zn2+. • DTT-o showed fast response, high sensitivity and good selectivity to Zn2+. • DTT-o could be used in the design of logic gates. • DTT-o could be used in the detection of Zn2+ in real water samples. • DTT-o could be used as test strips for the detection of Zn2+. Here, we designed and synthesized a new fluorescent chemical sensor diarylethene DTT-o bearing a thienyl hydrazide unit. DTT-o responded to Zn2+ in tetrahydrofuran solution with a significant fluorescent color change from dark to bright blue-green, achieving the data of the recognition of Zn2+. Probe DTT-o showed fast response, strong sensitivity and excellent selectivity to Zn2+. The Job's plot curve and HRMS confirmed that the complexation ratio of DTT-o to Zn2+ was 1:1. The calculation result showed that the detection limit of DTT-o for Zn2+ can be as low as 4.90 × 10−7 M, further indicated the high sensitivity of DTT-o to Zn2+. In addition, the utilization of DTT-o allows for the creation of logic gates, detection of Zn2+ in real water samples and test strips for in vitro detection of Zn2+. [ABSTRACT FROM AUTHOR]

Methods of Land Use Regression (LUR) modeling and Ordinary Kriging (OK) interpolation have been widely used to offset the shortcomings of PM2.5 data observed at sparse monitoring sites. However, traditional point-based performance evaluation strategy for these methods remains stagnant, which could cause unreasonable mapping results. To address this challenge, this study employs 'information entropy', an area-based statistic, along with traditional point-based statistics (e.g. error rate, RMSE) to evaluate the performance of LUR model and OK interpolation in mapping PM2.5 concentrations in Houston from a multidimensional perspective. The point-based validation reveals significant differences between LUR and OK at different test sites despite the similar end-result accuracy (e.g. error rate 6.13% vs. 7.01%). Meanwhile, the area-based validation demonstrates that the PM2.5 concentrations simulated by the LUR model exhibits more detailed variations than those interpolated by the OK method (i.e. information entropy, 7.79 vs. 3.63). Results suggest that LUR modeling could better refine the spatial distribution scenario of PM2.5 concentrations compared to OK interpolation. The significance of this study primarily lies in promoting the integration of point- and area-based statistics for model performance evaluation in air pollution mapping. [ABSTRACT FROM AUTHOR]

Simple Summary: In this manuscript, we determined the growth performance and physiological and biochemical indices of the aquaculture fish Trachinotus ovatus reared in deep-sea and coastal environments, and analyzed the species abundance and diversity of the fish's intestinal microbes using high-throughput sequencing to screen for antibiotic resistance genes. We also analyzed environmental water samples to identify possible reasons for the observed differences between the two environments. The study found no significant difference in growth performance between deep-sea cultured fish and traditional coastal cultured fish during the feeding cycle. However, the physiological and biochemical indices and the number of antibiotic resistance genes in the gut microbial community of deep-sea cultured fish were superior to those of their coastal counterparts. Coastal cultured fish are particularly vulnerable to the impact of domestic water discharged from human activities on shore. This may be the cause of the observed phenomenon. These studies can offer additional data for comparing deep-sea aquaculture with traditional coastal aquaculture and provide a reference for the future development of fishery transformation and scientific standardization of deep-sea aquaculture. Aquaculture has become the fastest growing sector in global agriculture. The environmental degradation, diseases, and high density of mariculture has made for an inevitable shift in mariculture production from coastal to deep-sea areas. The influence that traditional coastal and emerging deep-sea farming environments exert on aquatic growth, immunity and gut microbial flora is unclear. To address this question, we compared the growth performance, physiological indicators and intestinal microbiological differences of deep-sea and coastal aquaculture in the Guangxi Beibu Gulf of China. The results showed that the growth performance and the complement of C3 and C4 (C3, C4), superoxide dismutase (SOD), and lysozyme (LYS), these physiological and biochemical indicators in the liver, kidney, and muscle of Trachinotus ovatus (T. ovatus), showed significant differences under different rearing conditions. Metagenome sequencing analysis showed Ascomycota, Pseudomonadota, and Bacillota were the three dominant phyla, accounting for 52.98/53.32 (coastal/deep sea), 24.30/22.13, and 10.39/11.82%, respectively. Aligned against the CARD database, a total of 23/2 (coastal/deep-sea) antibiotic resistance genes were screened and grouped into 4/2 genotypes. It indicated that compared with deep-sea fish, higher biological oxygen levels (3.10 times), inorganic nitrogen (110.00 times) and labile phosphate levels (29.00 times) in coastal waters might contributed to the existence of eutrophication with antibiotic resistance. The results of the study can provide complementary data on the study of the difference between deep-sea farming and traditional coastal farming, serving as a reference to future in-depth work on the transformation of fisheries development and scientific standardization of deep-sea farming. [ABSTRACT FROM AUTHOR]

Brassica juncea has adapted to diverse climate zones and latitudes, especially in the Yunnan-Guizhou Plateau with the complexity and diversity of the ecological types of western China. However, the genetic variations underlying the diversity of these ecotypes are poorly known. In this study, we resequenced the genome of 193 indigenous B. juncea accessions and obtained 1.04 million high-quality SNPs and 3.23 million InDels by mapping reads to the reference genomes of B. juncea var. timuda. Phenotype, population genetic, phylogenetic and principal component analyses showed considerable genetic variation including four distinct genetic groups. Selective sweep analysis and a genome-wide association study revealed the candidate genes for seed color and fatty acid biosynthesis. The results provide a comprehensive insight into the spread and improvement of B. juncea and laya foundation for accelerating rapeseed breeding by facilitating screenings of molecular markers. [ABSTRACT FROM AUTHOR]

A series of novel non-gallate near-infrared long-persistent phosphorescence Mg2−xZnxSnO4:Cr3+ phosphors were synthesized, and their structure and luminescence properties were investigated systematically. Under 448 nm blue light excitation, all the phosphors exhibit a broad emission band centered at 730 nm and a shoulder peak at 708 nm, which are attributed to the 4T2(4F) → 4A2 and 2E → 4A2 transitions of Cr3+, respectively. The excitation spectra of the samples clearly show the characteristic excitation of Cr3+ in the octahedral crystal field, with three obvious peaks at 324, 448 and 620 nm respectively. The phosphor with a composition of Mg1.4Zn0.6SnO4:0.03Cr3+ shows the strongest photoluminescence intensity which is 2.87 times and 3.09 times that of Mg2SnO4:0.03Cr3+ and Zn2SnO4:0.03Cr3+, respectively. Besides, all the samples show intense near-infrared long-persistent phosphorescence. For the optimized sample Mg1.4Zn0.6SnO4:0.005Cr3+, its phosphorescence can still be observed with a night vision instrument 18 h after removing the 365 nm UV light source. Finally, a feasible phosphorescence mechanism of the Mg1.4Zn0.6SnO4:Cr3+ phosphor was proposed and discussed. This study may provide a new method for developing novel near-infrared long-persistent phosphorescence phosphors through crystal structure modification. [ABSTRACT FROM AUTHOR]

In view of the significant impact of color centers on the physical and chemical properties of materials, studies on the origin of such color centers are needed. In this article, detailed crystal structure analysis and compositional characterization of CeAlO3 was carried out by applying XRD, XPS, HRTEM, STEM-EDS and ICP-OES techniques. The results revealed that crystal defects may be the main cause of color centers. The existence of oxygen and aluminum vacancy was proved and confirmed by the application of XPS, ICP-OES and STEM-EDS characterization methods. Overall, it unlikely that a single crystal defect would generate the yellow-green color of CeAlO3 crystals. [ABSTRACT FROM AUTHOR]

Streptomyces griseorubens JSD-1 is an isolate that can utilize lignocellulose (straw) as its sole carbon source for growth, and these lignocellulolytic genes involved in this biotransformation are expected to be crucial. However, little is known about the genetic basis related to this process. To further investigate the lignocellulose-degrading mechanisms, genome sequencing was carried out using MiSeq platform. After obtaining its draft genome, the key lignocellulolytic genes such as multicopper oxidase, exo-1, 4-β-glucanase, endo-1,4-β-glucanase, and β-xylosidase were identified and characterized. Multiple sequence alignments were performed to find out the identities of these analyzed proteins to those of their similar species. Signal peptide cleavage sites were predicted by SignalP 4.1 to reflect the cellular localization of their mature proteins. Besides, predicted 3D structures of these proteins were modeled by Phyre2, which showed to be highly identical to the templates in the PDB database. Finally, quantitative real-time PCR revealed that expression levels of all analyzed enzymes were significantly and generally up-regulated during the whole cultivation, indicating that they all contributed to the biodegradation. [ABSTRACT FROM AUTHOR]

In order to evaluate whether or not the county units' economy in the Changsha-Zhuzhou-Xiangtan (Chang-Zhu-Tan) Urban Agglomeration was growing as expected, this study analyzed the spatial economy pattern at county-level by using the Exploratory Spatial Data Analysis (ESDA) method. In this process, the global Moran's I and local Getis-Ord G* indexes were employed to analyze indicators including per capita GDP and three industrials (i.e. primary, secondary and tertiary industry) from 2000 to 2010. The results show that: 1) the county units' economy in the Chang-Zhu-Tan Urban Agglomeration has exhibited a strong spatial autocorrelation and an accelerated integration trend since 2008 (Moran' s I increased from 0.26 to 0.56); 2) there is a significant difference in economy development between the northern and southern county units in the Chang-Zhu-Tan Urban Agglomeration: the hotspot zone with high economic level was formed among the northern county units whereas the coldspot zone with low economic level was located in the southern areas. This difference was caused primarily by the increasingly prominent economic radiation effect of Changsha 'upheaval'; 3) town density, secondary industry, and the integration policy are the major contributors driving the evolution of the spatial economy pattern in the Chang-Zhu-Tan Urban Agglomeration. [ABSTRACT FROM AUTHOR]