Unveiling global land fine- and coarse-mode aerosol dynamics from 2005 to 2020 using enhanced satellite-based monthly inversion data

Accurate fine-mode and coarse-mode aerosol knowledge is crucial for understanding their impacts on the climate and Earth's ecosystems. However, current satellite-based Fine-Mode Aerosol Optical Depth (FAOD) and Coarse-Mode Aerosol Optical Depth (CAOD) methods have drawbacks including inaccuracies, low spatial coverage, and limited temporal duration. To overcome these issues, we developed new global-scale FAOD and CAOD from 2005 to 2020 using a novel deep learning model capable of the synergistic retrieval of two aerosol sizes. After validation with the aerosol robotic network (AERONET) and sky radiometer network (SKYNET), the new monthly FAOD and CAOD showed significant improvements in accuracy and spatial coverage. From 2005 to 2020, the new data showed that China had the greatest decrease in FAOD and CAOD. In contrast, India and South Latin America had a significant increase in FAOD versus North Africa in CAOD. FAOD in the regions of Argentina, Paraguay, and Uruguay in South America have shown an upward trend. The results reveal that FAOD and CAOD display distinct patterns of change in the same regions, particularly on the west coast of the United States where FAOD is increasing, while CAOD is decreasing. Aside from the year 2020 due to the global COVID-19 pandemic, the analysis showed that although China has seen at least an +85% increase in energy consumption and urban expansion in 2019 compared to 2005 due to the needs of development and construction, the implementation of China's air pollution control policies has led to a significant decrease in FAOD (-46%) and CAOD (-65%) after 2013. This research enriches our comprehension of global fine and coarse aerosol patterns, additional investigations are needed to determine the potential global implications of these changes.

Combining physical mechanisms and deep learning models for hourly surface ozone retrieval in China

As surface ozone (O3) gains increasing attention, there is an urgent need for high temporal resolution and accurate O3 monitoring. By taking advantage of the progress in artificial intelligence, deep learning models have been applied to satellite based O3 retrieval. However, the underlying physical mechanisms that influence surface O3 into model construction have rarely been considered. To overcome this issue, we considered the physical mechanisms influencing surface O3 and used them to select relevant variable features for developing a novel deep learning model. We used a wide and deep model architecture to account for linear and non-linear relationships between the variables and surface O3. Using the developed model, we performed hourly inversions of surface O3 retrieval over China from 2017 to 2019 (9:00-17:00, local time). The validation results based on sample-based (site-based) methods yielded an R2 of 0.94 (0.86) and an RMSE of 12.79 (19.13) μg/m3, indicating the accuracy of the models. The average surface O3 concentrations in China in 2017, 2018, and 2019 were 82, 78, and 87 μg/m3, respectively. There was a diurnal pattern in surface O3 in China, with levels rising significantly from 55 μg/m3 at 9:00 a.m. to 96 μg/m3 at 15:00. Between 15:00 and 16:00, the O3 concentration remained stable at 95 μg/m3 and decreased slightly thereafter (16:00-17:00). The results of this study contribute to a deeper understanding of the physical mechanisms of ozone and facilitate further studies on ozone monitoring, thereby enhancing our understanding of the spatiotemporal characteristics of ozone.

Analysis of risk factors for complications following transurethral resection of the prostate

OBJECTIVE

This study investigates the risk factors for complications following transurethral resection of the prostate and provides a reference for reducing postoperative complications.

PATIENTS AND METHODS

A retrospective analysis was conducted on 322 patients with benign prostatic hyperplasia who underwent transurethral resection of the prostate from April 2015 to January 2022. Among them, 214 patients had complete clinical and follow-up data. Clinical and follow-up data were collected, and both univariate and multivariate logistic regression analyses were performed to identify factors influencing the occurrence of postoperation transurethral resection of the prostate complications.

RESULTS

The incidence of complications after transurethral resection of the prostate was 19.16% (41/214). Among them, the incidence of Grade I-II complications was 14.96% (32/214), and Grade III-IV complications were 4.2% (9/214). The preoperative Quality of Life score (p<0.001) was identified as an independent risk factor for the occurrence of Grade I-II complications after transurethral resection of the prostate. The International Prostate Symptom Score (p=0.006) was identified as an independent risk factor for the occurrence of Grade III-IV complications after transurethral resection of the prostate.

CONCLUSIONS

The preoperative Quality of Life score is an independent risk factor for the occurrence of Grade I-II complications after transurethral resection of the prostate. The International Prostate Symptom Score is an independent risk factor for the occurrence of Grade III-IV complications after transurethral resection of the prostate.

Exploring Global Land Coarse-Mode Aerosol Changes from 2001-2021 Using a New Spatiotemporal Coaction Deep-Learning Model

Coarse-mode aerosol optical depths (cAODs) are critical for understanding the impact of coarse particle sizes, especially dust aerosols, on climate. Currently, the limited data length and high uncertainty of satellite products diminish the applicability of cAOD for climate research. Here, we propose a spatiotemporal coaction deep-learning model (SCAM) for the retrieval of global land cAOD (500 nm) from 2001-2021. In contrast to conventional deep-learning models, the SCAM considers the impacts of spatiotemporal feature interactions and can simultaneously describe linear and nonlinear relationships for retrievals. Based on these unique characteristics, the SCAM considerably improved global daily cAOD accuracies and coverages (R = 0.82, root-mean-square error [RMSE] = 0.04). Compared to official products from the multiangle imaging spectroradiometer (MISR), the moderate resolution imaging spectroradiometer (MODIS), and the polarization and directionality of Earth's reflectances (POLDER) instrument, as well as the physical-deep learning (Phy-DL) derived cAOD, the SCAM cAOD improved the monthly R from 0.44 to 0.88 and more accurately captured over the desert regions. Based on the SCAM cAOD, daily dust cases decreased over the Sahara, Thar Desert, Gobi Desert, and Middle East during 2001-2021 (>3 × 10-3/year). The SCAM-retrieved cAOD can contribute considerably to resolving the climate change uncertainty related to coarse-mode aerosols. Our proposed method is highly valuable for reducing uncertainties regarding coarse aerosols and climate interactions.

Analysis of risk factors for stone remnants and recurrence after lateral decubitus percutaneous nephrolithotomy

OBJECTIVE

This study aims to explore the risk factors for stone remnants and recurrence after lateral decubitus percutaneous nephrolithotomy (PCNL), providing insights to enhance the stone-free rate and reduce the stone recurrence rate.

PATIENTS AND METHODS

A retrospective analysis was conducted on 356 patients with renal or upper ureteral stones who underwent lateral decubitus PCNL from January 2015 to August 2022. Among them, 271 patients had complete clinical and follow-up data. General clinical information, perioperative data, and follow-up data were collected. Univariate and multivariate logistic regression analyses were performed to identify risk factors for stone remnants and recurrence after lateral decubitus PCNL.

RESULTS

The stone-free rate after lateral decubitus PCNL was 88.6% (195/271), and the stone recurrence rate within three years was 28.1% (76/271). Stone size (p<0.001) and stone co-infection (p=0.047) were identified as independent risk factors for stone remnants after lateral decubitus PCNL. Multiple stones (p=0.003) were an independent risk factor for stone recurrence after lateral decubitus PCNL.

CONCLUSIONS

Stone size and stone co-infection are independent risk factors for stone remnants after lateral decubitus PCNL. Multiple stones are an independent risk factor for stone recurrence after lateral decubitus PCNL.

Universal probe-based SNP genotyping with visual readout: a robust and versatile method

Detection of single nucleotide polymorphisms (SNPs) is critical for personalized clinical diagnosis, treatment, and medication. Current clinical detection methods suffer from primer dimerization and require the redesigning of reaction systems for different targets, resulting in a time-consuming and laborious process. Here, we present a robust and versatile method for SNP typing by using tailed primers and universal small molecule probes in combination with a visualized lateral flow assay (LFA). This approach enables not only rapid typing of different targets, but also eliminates the interference of primer dimers and enhances the accuracy and reliability of the results. Our proposed universal assay has been successfully applied to the typing of four SNP loci of clinical samples to verify the accuracy and universality, and the results are consistent with those obtained by Sanger sequencing. Therefore, our study establishes a new universal "typing formula" using nucleic acid tags and small molecule probes that provides a powerful genotyping platform for genetic analysis and molecular diagnostics.

Cooperative simultaneous inversion of satellite-based real-time PM2.5 and ozone levels using an improved deep learning model with attention mechanism

Ground-level fine particulate matter (PM_2.5) and ozone (O₃) are air pollutants that can pose severe health risks. Surface PM_2.5 and O₃ concentrations can be monitored from satellites, but most retrieval methods retrieve PM_2.5 or O₃ separately and disregard the shared information between the two air pollutants, for example due to common emission sources. Using surface observations across China spanning 2014-2021, we found a strong relationship between PM_2.5 and O₃ with distinct spatiotemporal characteristics. Thus, in this study, we propose a new deep learning model called the Simultaneous Ozone and PM_2.5 inversion deep neural Network (SOPiNet), which allows for daily real-time monitoring and full coverage of PM_2.5 and O₃ simultaneously at a spatial resolution of 5 km. SOPiNet employs the multi-head attention mechanism to better capture the temporal variations in PM_2.5 and O₃ based on previous days' conditions. Applying SOPiNet to MODIS data over China in 2022, using 2019-2021 to construct the network, we found that simultaneous retrievals of PM_2.5 and O₃ improved the performance compared with retrieving them independently: the temporal R² increased from 0.66 to 0.72 for PM_2.5, and from 0.79 to 0.82 for O₃. The results suggest that near-real time satellite-based air quality monitoring can be improved by simultaneous retrieval of different but related pollutants. The codes of SOPiNet and its user guide are freely available online at https://github.com/RegiusQuant/ESIDLM.

["Double Grooves-Double Rings" technique of transurethral Thulium laser enucleation of the prostate: learning curve of single surgeon]

Objective: To evaluate the learning curve of the "Double Grooves-Double Rings" (DGDR) technique of transurethral Thulium laser enucleation of the prostate (ThuLEP) for benign prostatic hyperplasia (BPH) by a single surgeon. From June 2021 to July 2022, 84 patients mean age (69.0±8.0) years,preoperative prostate volume (90.9±40.3)ml with BPH underwent ThuLEP in the Department of Urology, Peking University First Hospital.Performed by a single surgeon who had no experience of transurethral resection of prostate (TURP) and any laser surgeries. The case scatter plots with the best fitting line were drawn to analyze the learning curve. According to the date of the surgeries, the patients were equally divided into three learning stages (28 patients for each group). The T-PSA,prostate volume,operative time,enucleation time, enucleation efficiency,catheter indwelling time, hemoglobin drop and perioperative complications (including re-TURP, blood transfusion, stress incontinence≥3 months and urethral stricture) were compared among the groups. The learning curve was divided into three stages, and the cutting point was shown on the 14^th case. Except the prostate volume [stage1 (75.7±30.7) ml, stage2 (93.40±39.6)ml, stage3 (103.5±46.2) ml, P<0.05], there was no significant difference of the baseline data between three groups (P>0.05). Compared with those of stage 1(100.6±24.7) min,(0.55±0.22) g/min, a statistically significant improvement was observed in both of the operative time and the enucleation efficiency among stage 2[(84.5±36.6) min, (0.87±0.33) g/min and stage 3 (71.2±26.3) min, (1.27±0.45) g/min, P<0.05]. The learning curve of the DGDR technique for ThuLEP can be divided into three stages. A ThuLEP beginner can preliminarily master this technique after completing 14 cases.

ASIC1a involves the acid-mediated activation of pancreatic stellate cells associated with autophagy induction

The acidic tumor microenvironment (TME) of pancreatic cancer affects the physiological function of pancreatic stellate cells (PSCs), which in turn promotes cancer progression. Acid-sensing ion channel 1a (ASIC1a) is responsible for acidosis-related physiopathological processes. In this study, we investigated the effect of acid exposure on the activation and autophagy of PSCs, and the role of ASIC1a in these events. The results showed that acidic medium upregulated the expression of ASIC1a, induced PSCs activation and autophagy, which can be suppressed by inhibiting ASIC1a using PcTx1 or ASIC1a knockdown, suggesting that ASIC1a involves these two processes. In addition, the acid-induced activation of PSCs was impaired after the application of autophagy inhibitor alone or in combination with ASIC1a siRNA, meaning a connection between autophagy and activation. Collectively, our study provides evidence for the involvement of ASIC1a in the acid-caused PSCs activation, which may be associated with autophagy induction.

Genome Mining and Heterologous Expression Guided the Discovery of Antimicrobial Naphthocyclinones from Streptomyces eurocidicus CGMCC 4.1086

A type II polyketide synthase biosynthetic gene cluster (nap) was identified in Streptomyces eurocidicus CGMCC 4.1086 via genome mining. The heterologous expression of the cryptic nap gene cluster in Streptomyces albus J1074 generated dimerized aromatic polyketide naphthocyclinones (1-3), whose structures were determined via extensive analysis using nuclear magnetic resonance and high-resolution electrospray ionization mass spectroscopy. The biological pathway of naphthocyclinone synthesis was revealed via in vivo gene deletion, in vitro biochemical reactions, and comparative genomics. Remarkably, 3 played a crucial role in inhibiting Phytophthora capsici and Phytophthora sojae, with EC₅₀ values of 6.1 and 20.2 μg/mL, respectively. Furthermore, 3 exhibited a potent protective effect against P. capsici and P. sojae in greenhouse tests.

The Reaction Kinetics and Mechanism of Catalytic Decomposition of Hydrazine nitrate on Ru/C Catalyst in Nitric Acid Solutions

Catalytic decomposition of hydrazine nitrate is a very important research topic in environmental protection field. Herein, we used Ru/C catalyst for decomposition of hydrazine nitrate in HNO3, and the reaction...

Catalytic decomposition of hydroxylamine nitrate and hydrazine nitrate using Ru/ZSM-5 catalyst under mild reaction conditions

Hydroxylamine nitrate and hydrazine nitrate are dangerous explosives and toxic chemicals. Catalytic decomposition is an efficient way for disposal of these chemicals. In the current work, a Ru/ZSM-5 catalyst has been fabricated and evaluated for the decomposition of hydroxylamine nitrate and hydrazine nitrate in 1.0 mol L⁻¹ HNO₃. The hydroxylamine nitrate and hydrazine nitrate can be thoroughly decomposed under 80 °C. And the Ru/ZSM-5 catalyst can be separated from the reaction mixture and reused at least 130 times with stable catalytic performance. Easy operation, less solid waste generation, and a simple catalytic device make the strategy reported here practical, environmentally friendly, and economically attractive.

The Ru/ZSM-5 catalyst was shown to be an efficient heterogeneous catalyst for decomposition of hydroxylamine nitrate and hydrazine nitrate. The catalyst could be recovered by filtration and reused, showing good potential for industrial application.

Power supply for fast-scanning magnet in proton therapy: Design and test

Proton therapy is one of the most effective radiation methods to combat cancer and offers a substantial advantage over conventional photon therapy. Magnetic scanning systems consisting of a magnet and power supply form an integral part of proton therapy and allow the beam position (x, y) to be controlled during spot scanning. Ensuring that the dose is rapidly and precisely distributed within the contour of the tumor requires a high-precision, fast-ramp-speed, and high-stability power supply with accurate control. The present work uses a three-phase bridge rectifier and multiple series-parallel H-bridge converters to propose a prototype power supply for the scanning magnet of a magnetic scanning system. The power supply is controlled using a proportional integral controller using digital signal processing. A prototype of the scanning power supply is developed and tested, and the results demonstrate an output current of ±500 A, a ramp speed of ±40 kA/s, and a short- and long-term stability of less than 20 ppm.

Design and optimization of scanning magnets for HUST-PTF

We report scanning magnets manufactured at the Huazhong University of Science and Technology Proton Therapy Facility for use in pencil-beam nozzles in a fixed beamline. Such nozzles allow us to control the trajectory of proton beams to form the requisite radiation field for tumor therapy. Two AC-excited scanning magnets operate at a maximum frequency of 100 and 50 Hz, respectively, generating significant eddy currents that raise the temperature. We use transient electromagnetic analysis and thermal analysis to study the eddy current effect and control the temperature. In this paper, the maximum temperature rise of the scanning magnets is taken as the criterion to find the appropriate depth, shape, and distribution of slits. After the slits are optimized, the temperature rise of the scanning magnet is significantly reduced. Finally, the results of DC performance tests satisfy the requirements of the magnetic field.

A nanoprobe for fluorescent monitoring of microRNA and targeted delivery of drugs

Multifunctional nano-materials that can be used to monitor the expression of specific biomarkers and serve as vehicles for controlled drug delivery are highly desirable. Herein, we report a new DNA-hybrid-gated core–shell upconversion nanoprobe (UCNP@MOF/DOX) for fluorescence analysis of microRNA-21 (miR-21), which also triggers the release of drug loaded in the probes for on-demand anti-cancer treatment. The nanoprobe is built on the merits of ultraviolet-visible light of upconversion nanoparticles (UCNPs) excited by near-infrared (NIR) and extraordinary loading capability of metal–organic frameworks (MOFs) for drug delivery. Controlled release of doxorubicin (DOX) from the nanoprobe by miR-21 underwent the following two-stage kinetics: a fast release stage specifically triggered by miR-21 and proportional to miR-21 concentration and a slow stage observed in both gated and ungated nanoprobes due to collapse of the UIO-66-NH₂ coatings via ligand exchange with phosphates. In addition, the nanoprobe showed good selectivity, a linear response towards miR-21 ranging from 4 nM to 500 nM, and a limit of detection in 4 nM, which precluded unintended payload leakage due to low-abundance endogenous miR-21 expression in normal cells. Moreover, based on a dual-targeted delivery system constituted by AS1411-mediated recognition and responsive release of DOX, a specific cytotoxic efficacy was observed in MCF-7 cells. The present work provides a smart and robust nanoprobe for real-time detection of miRNA and dual-responsive drug delivery in tumor cells.

A DNA-hybrid-gated core–shell upconversion nanoprobe is prepared for both fluorescent monitoring of miR-21 and on-demand delivery of DOX. It showed good selectivity towards miR-21 and demonstrated specific cytotoxic efficacy towards MCF-7 cells.

Risk Response for Municipal Solid Waste Crisis Using Ontology-Based Reasoning

Many cities in the world are besieged by municipal solid waste (MSW). MSW not only pollutes the ecological environment but can even induce a series of public safety crises. Risk response for MSW needs novel changes. This paper innovatively adopts the ideas and methods of semantic web ontology to build an ontology-based reasoning system for MSW risk response. Through the integration of crisis information and case resources in the field of MSW, combined with the reasoning ability of Semantic Web Rule Language (SWRL), a system of rule reasoning for risk transformation is constructed. Knowledge extraction and integration of MSW risk response can effectively excavate semantic correlation of crisis information along with key transformation points in the process of crisis evolution through rule reasoning. The results show that rule reasoning of transformation can effectively improve intelligent decision-making regarding MSW risk response.

Applying CRISPR-Cas12a as a Signal Amplifier to Construct Biosensors for Non-DNA Targets in Ultralow Concentrations

Efficient signal amplification is essential to construct ultrasensitive biosensors for biologically relevant species with abundant concomitant interferences. Here, we apply LbaCas12a as a signal amplifier to develop a versatile CRISPR-Cas12a platform to detect a wide range of analytes in ultralow concentrations. The platform relies on the indiscriminate single-stranded DNase activity of LbaCas12a, which recognizes single-stranded DNA intermediates generated by non-DNA targets down to femtomolar concentrations and subsequently enhances the fluorescence signal output. With the help of functional nucleotides (DNAzyme and aptamer), ultrasensitive bioassays for Pb²⁺ and Acinetobacter baumannii have been designed with a limit of detection down to ∼0.053 nM and ∼3 CFU/mL, respectively. It also allows simultaneous detection of four microRNAs (miRNAs) at a picomolar concentration without significant interferences by other counterparts, suggesting the potential of multiplexed miRNA expression profiles analysis in high throughput. Given the versatility and generality of the CRISPR-Cas12a platform, we expect the current work to advance the application of CRISPR-Cas-based platforms in bioanalysis and provide new insights into ultrasensitive biosensor design.

A fluorometric assay for rapid enrichment and determination of bacteria by using zirconium-metal organic frameworks as both capture surface and signal amplification tag

A fluorometric assay was introduced to determine Acinetobacter baumannii (A. baumannii) in blood samples by utilizing Zr-MOFs both as functional coating for magnetic Fe₃O₄ nanoparticles to provide modification surface (Zr-mMOF) and as fluorescein carrier to produce fluorescence signals (F@UIO-66-NH₂). Through strong Zr-O-P bonding, two distinct terminal phosphate-labeled A. baumannii and lipopolysaccharide (LPS) specific aptamers were attached onto Zr-MOFs to fabricate the magnetic core-shell capture probe (denoted as Zr-mMOF-p-Ab-Apt) and signal probe (denoted as F@UIO-66-NH₂-p-LPS-Apt), respectively. After successive incubation with A. baumannii in blood samples and magnetic separation, the sandwich-type composite of capture probe/A. baumannii cells/signal probe was treated with high concentration of anionic phosphate ions to destroy the nano-structure of UIO-66-NH₂ in the signal probe and fast release of fluorescein to produce amplified fluorescence signals. Due to the high aptamer modification efficiency of Zr-mMOF-p-Ab-Apt (up to 93%) and its strong affinity to A. baumannii, the enrichment efficiency of this capture probe has reached to 96.7%. Further, due to the high fluorescein loading efficiency of UIO-66-NH₂ and our novel amplification strategy to destroy F@UIO-66-NH₂-p-LPS-Apt to release and amplify fluorescein signals at 512 nm in the presence of high concentration of anionic phosphate ions, the sensitivity of this method has reached 10 cfu mL^-1. This method allows enrichment and determination of A. baumannii within ~2.5 h. The limit of detection of A. baumannii in blood samples is 10 cfu mL^-1 with a linear range of 10¹-10⁵ cfu mL^-1. This indicates the potential of this assay for diagnosis of bloodstream infection in early stage. Graphical abstractSchematic representation of sandwich-type fluorometric assay for Acinetobacter baumannii in blood samples with the capture probe (Zr-mMOF-p-Ab-Apt) and signal probe (F@UIO-66-NH2-p-LPS-Apt). The limit of detection is down to 10 cfu mL^-1 with a linear range of 10¹-10⁵ cfu mL^-1.

Pancreatic sarcomatoid carcinoma: CT, MRI, and 18F-FDG PET/CT features

AIM

To investigate computed tomography (CT), magnetic resonance imaging (MRI), and combined 2-[¹⁸F]-fluoro-2-deoxy-d-glucose (¹⁸F-FDG) positron-emission tomography (PET)/CT features of pancreatic sarcomatoid carcinoma (PSC).

MATERIALS AND METHODS

The hospital database was searched retrospectively for the patients with PSC confirmed at histopathology after surgery. Ten patients who underwent unenhanced and enhanced CT (n=4), unenhanced and enhanced MRI (n=2), ¹⁸F-FDG PET/CT (n=2), and both enhanced CT and ¹⁸F-FDG PET/CT (n=2) were enrolled. Two patients underwent additional delayed PET/CT. The maximum standardised uptake value (SUVmax) was measured on PET/CT images.

RESULTS

Eleven lesions were detected in 10 patients. Solid and cystic components (n=6), intratumoural haemorrhage (n=1), nodular calcification (n=2), main pancreatic duct dilatation resulted from lesion obstruction (n=5) or compression (n=3), cholangiectasis (n=5), vascular and peripheral organ invasion (n=5 and 6, respectively), hepatic and lymphatic metastases (n=4 and 2, respectively) were detected. All five lesions in four patients who underwent PET/CT showed intense FDG uptake on PET/CT with SUVmax (16, range 10.9-21.1). Increase of FDG uptake (SUVmax = 18.9, 20.1, and 27.3, respectively) was revealed on the delayed scan of three lesions in two patients.

CONCLUSIONS

PSCs were more commonly ill-defined solid cystic masses, which caused pancreatic duct obstruction/compression without pancreatic parenchymal atrophy, and these masses on PET/CT showed high FDG uptake on both initial and delayed PET/CT.

Specific discrimination and universal signal amplification for RNA detection by coupling toehold exchange with RCA through nucleolytic conversion of a structure-switched hairpin probe

Herein, we combined toehold exchange with ligation-free rolling circle amplification (RCA) by programming nucleolytic conversion of hairpin probe into sensors, allowed for both high specific recognition and universal signal amplification for RNA detection. The rational engineered HP ensured highly specific recognition based on toehold exchange and allowed the pre-formed circular template for RCA to be shared for different RNAs detection. Generally, detecting different RNA requires different circular template for signal amplification. In this paper, the circular template for RCA was independent of the sequences of the target, so the signal amplification system was an universal one for different RNAs detection. Taking miRNA let-7d as a model target, this method showed a wide linear range from 1 fM to 1 nM with a detection limit of 0.46 fM and exhibited a remarkable selectivity even in distinguishing homologous miRNAs with 1-nt or 2-nt difference. To evaluate the potential of the method, it was applied to analysis the let-7d concentration in human serum, total RNA, and cell lysates. In conclusion, we believe this method exhibits potential for both specific discrimination and universal signal amplification for RNA analysis in complex matrices.

Correlation-driven direct sampling method for geostatistical simulation and training image evaluation

Multiple-point geostatistics (MPS) is a competitive algorithm that produces a set of geologically realistic models. Viewing a training image (TI) as a prior model, MPS extracts patterns from the TI and reproduces patterns which are compatible with the hard data (HD). However, two challenges within the MPS framework are the geologically complex simulation and the TI evaluation. With the objective to achieve a high-quality simulation, we explore a way to address these two issues. First, correlation-driven direct sampling (CDS) is proposed to realize geostatistical simulation. We introduce the correlation-driven distance as a measure of similarity between two patterns. The weights in our distance measurement are derived by the concepts of the ellipse, correlation coefficient, Gaussian function, and affine transformation. Second, we fulfill TI evaluation on the basis of the consistency between TI and HD. Inspired by CDS, the minimum correlation-driven distance (MCD) is proposed to improve the evaluation accuracy. We suggest a conditioning pattern extraction history strategy to speed up the evaluation program. Third, the local consistency is presented to address nonstationarity. The program automatically divides the simulation domain into several subareas. A two-dimensional (2D) channelized reservoir image and a three-dimensional (3D) rock image are used to validate our proposed method. In comparison with previous methods, CDS yields better simulation quality. The further applications include a set of 2D TI evaluations and a 3D simulation domain segmentation. MCD exhibits sensible evaluation accuracy, excellent computational efficiency, and the ability to deal with nonstationarity.

Chronic sun exposure is associated with distinct histone acetylation changes in human skin

BACKGROUND

Photoageing is attributed to continuous sunlight or artificial ultraviolet exposure and manifests as clinical and histological changes in skin. Epigenetic changes have been found to be involved in the pathogenesis of photoageing. However, the underlying mechanisms are unclear.

OBJECTIVES

To analyse histone modification patterns in sun-exposed and nonexposed skin, and to identify the abnormally histone-modified genes related to photoageing.

METHODS

Skin biopsies were collected from both the outer forearm (sun-exposed area) and the buttock (sun-protected area) in 20 healthy middle-aged female volunteers. Global histone H3/H4 acetylation and H3K4/H3K9 methylation statuses were assessed by enzyme-linked immunosorbent assay. Expression levels of histone acetyltransferases and histone deacetylases were measured by reverse-transcriptase quantitative polymerase chain reaction (qPCR) and Western blot. Chromatin immunoprecipitation combined with DNA microarray (ChIP-chip) assay with anti-acetyl-histone H3 antibody in a sun-exposed pool (combining six sun-exposed skin samples) and a nonexposed pool (combining six nonexposed skin samples) was conducted to explore the abnormally acetylated histone H3 genes related to photoageing; ChIP-qPCR was then used to verify the results of ChIP-chip.

RESULTS

We observed higher global histone H3 acetylation levels increased EP300 and decreased HDAC1 and SIRT1 expression in sun-exposed skin compared with matched nonexposed skin. Furthermore, the ChIP-chip assay showed that 227 genes displayed significant hyperacetylation of histone H3, and 81 genes displayed significant hypoacetylation of histone H3 between the two groups. Histone H3 acetylation levels on the promoters of PDCD5, ITIH5, MMP1 and AHR were positively correlated with the mRNA expression of the corresponding gene.

CONCLUSIONS

Chronic sun exposure-induced histone H3 hyperacetylation may play a critical role in the pathogenesis of skin photoageing.

Analogous modified DNA probe and immune competition method-based electrochemical biosensor for RNA modification

N6-methyladenosine (m6A), one of the most abundant RNA methylation which is ubiquitous in eukaryotic RNA, plays vital roles in many biological progresses. Therefore, the rapid and accurate quantitative detection of m6A is particularly important for its functional research. Herein, a label-free and highly selective electrochemical immunosensor was developed for the detection of m6A. The method is established on that the anti-m6A-Ab can recognize both m6A-RNA and m6A-DNA. An analogous modified DNA probe (L1) serves as a signal molecule, by competing with m6A-RNA for binding to Abs to broaden the linear range. The detection of m6A-RNA by this method is unaffected by the lengths and base sequences of RNA. Under optimal conditions, the proposed immunosensor presented a wide linear range from 0.05 to 200 nM with a detection limit as low as 0.016 nM (S/N = 3). The specificity and reproducibility of the method are satisfactory. Furthermore, the developed immunosensor was validated for m6A determination in human cell lines. Thus, the immunosensor provides a promising platform for m6A-RNA detection with simplicity, high specificity and sensitivity.

Accelerating simulation for the multiple-point statistics algorithm using vector quantization

Multiple-point statistics (MPS) is a prominent algorithm to simulate categorical variables based on a sequential simulation procedure. Assuming training images (TIs) as prior conceptual models, MPS extracts patterns from TIs using a template and records their occurrences in a database. However, complex patterns increase the size of the database and require considerable time to retrieve the desired elements. In order to speed up simulation and improve simulation quality over state-of-the-art MPS methods, we propose an accelerating simulation for MPS using vector quantization (VQ), called VQ-MPS. First, a variable representation is presented to make categorical variables applicable for vector quantization. Second, we adopt a tree-structured VQ to compress the database so that stationary simulations are realized. Finally, a transformed template and classified VQ are used to address nonstationarity. A two-dimensional (2D) stationary channelized reservoir image is used to validate the proposed VQ-MPS. In comparison with several existing MPS programs, our method exhibits significantly better performance in terms of computational time, pattern reproductions, and spatial uncertainty. Further demonstrations consist of a 2D four facies simulation, two 2D nonstationary channel simulations, and a three-dimensional (3D) rock simulation. The results reveal that our proposed method is also capable of solving multifacies, nonstationarity, and 3D simulations based on 2D TIs.

Chromatin remodeling: demethylating H3K4me3 of type I IFNs gene by Rbp2 through interacting with Piasy for transcriptional attenuation

Type I IFNs (IFNIs) are involved in the course of antiviral and antimicrobial activities; however, robust inductions of these can lead to host immunopathology. We have reported that the Pias (protein inhibitor of activated signal transducer and activator of transcription) family member, Piasy, possesses the ability to suppress IFNI transcriptions in mouse embryonic fibroblasts (MEFs), yet the specific molecular mechanism by which it acts remains elusive. Here, we identify that the H3K4me3 levels, one activation mark of genes, in MEFs that were stimulated by poly(I:C) were impaired by Piasy in the IFN-β gene. Piasy bound to the promoter region of the IFN-β gene in MEFs. Meanwhile, retinoblastoma binding protein 2 (Rbp2) was proven to be the only known and novel H3K4me3 demethylase that interacted with Piasy. Overexpression of Rbp2, but not its enzymatically inactive mutant Rbp2^H483G/E485Q, retarded the transcription activities of IFNI, whereas small interfering RNA-mediated or short hairpin RNA-mediated knockdown of Rbp2 enhanced IFNI promoter responses. Above all, coexpression of Piasy and Rbp2 led to statistically less IFNI induction than overexpression of either Piasy or Rbp2 alone. Mechanistically, Piasy bound to the Jmjc domain (451-503 aa) of Rbp2 via its PINIT domain (101-218 aa), which is consistent with the domain required for their attenuation of transcription and H3K4me3 levels of IFNI genes. Our study demonstrates that Piasy may prevent exaggerated transcription of IFNI by Rbp2-mediated demethylation of H3K4me3 of IFNI, avoiding excessive immune responses.-Yu, X., Chen, H., Zuo, C., Jin, X., Yin, Y., Wang, H., Jin, M., Ozato, K., Xu, S. Chromatin remodeling: demethylating H3K4me3 of type I IFNs gene by Rbp2 through interacting with Piasy for transcriptional attenuation.

Design and synthesis of graphene/SnO2/polyacrylamide nanocomposites as anode material for lithium-ion batteries

Tin dioxide (SnO₂) is a promising anode material for lithium-ion batteries owing to its large theoretical capacity (1494 mA h g⁻¹).

A thin TiO2 NTs/GO hybrid membrane applied as an interlayer for lithium–sulfur batteries

Lithium–sulfur batteries hold great promise for serving as next generation high energy density batteries.

[Correlation analysis of serum secreted frizzled-related protein 5 levels with airway inflammation and insulin resistance in chronic obstructive pulmonary disease patients]

Objective: To investigate the relationship between serum secreted frizzled-related protein 5(sfrp5) levels, insulin resistance, and airway inflammation in patients with chronic obstructive pulmonary disease(COPD). Method: A total of 178 COPD patients visiting our respiratory outpatient clinic from February 2015 to January 2017 were enrolled, and 99 healthy control subjects from the same time period were selected. Serum sfrp5 levels were compared between the 2 groups. Serum sfrp5 and inflammatory cytokines in induced sputum were observed in the 4 subgroups: insulin resistant COPD group [homeostasis model assessment of insulin resistance (HOMA-IR)≥2.29], non-insulin resistant COPD group, non-COPD insulin resistant group, and healthy control group. Results: Serum sfrp5 levels were found to be significantly higher in the COPD group as compared to the healthy control group (t=-14.29, P<0.001). Serum sfrp5 levels in the insulin resistant COPD group [(8±3)ng/ml] were significantly lower than that of the non-insulin resistant COPD group [(10±5)ng/ml], non-COPD insulin resistant group [(13±3)ng/ml], and normal control group [(14±4)ng/ml, F=35.85, P<0.01]. The insulin resistant COPD group had higher levels of In(Homa-IR), as well as tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6) in induced sputum as compared to the non-insulin resistant COPD group, non-COPD insulin resistant group, and healthy control group (F values were 64.968, 41.40, 64.15, respectively, P value <0.01 for all items). The non-insulin resistant COPD group had higher levels of In(HOMA-IR) as well as TNF-α and IL-6 in induced sputum as compared to the non-COPD insulin resistant group and healthy control group. FEV(1)/FVC and FEV(1)% predicted were significantly lower in the insulin resistant COPD group as compared to those of non-insulin resistant COPD group and non-COPD insulin resistant group, and healthy control group (F values were 2.481 and 8.37, respectively, P value<0.05 for all items). FEV(1)/FVC and FEV(1)% predicted were significantly lower in the non-insulin resistant COPD group as compared to those of the healthy control group and non-COPD insulin-resistant group. Serum sfrp5 levels were positively correlated to FEV(1)/FVC and FEV(1) predicted (r values were 0.466 and 0.412, respectively; P values were <0.001 and 0.007, respectively) and inversely correlated to In(HOMA-IR) and TNF-α and IL-6 in induced sputum (r values were -0.304, -0.459, -0.517, respectively; P values were <0.001, 0.002, <0.001, respectively). BMI, ln(HOMA-IR), and IL-6 in induced sputum were independent related factors (r(2) values were 0.286, 0.176, 14.69, respectively; P values were <0.01 for all items) Conclusion: Sfrp5 may be concurrently associated with COPD and insulin resistance; insulin resistance may be associated with airway inflammation and airflow limitation. Sfrp5 may be involved in the development of COPD and may be the key link by which insulin resistance exerts its effects on airway inflammation.

Pattern density function for reconstruction of three-dimensional porous media from a single two-dimensional image

Three-dimensional (3D) structures are useful for studying the spatial structures and physical properties of porous media. A 3D structure can be reconstructed from a single two-dimensional (2D) training image (TI) by using mathematical modeling methods. Among many reconstruction algorithms, an optimal-based algorithm was developed and has strong stability. However, this type of algorithm generally uses an autocorrelation function (which is unable to accurately describe the morphological features of porous media) as its objective function. This has negatively affected further research on porous media. To accurately reconstruct 3D porous media, a pattern density function is proposed in this paper, which is based on a random variable employed to characterize image patterns. In addition, the paper proposes an original optimal-based algorithm called the pattern density function simulation; this algorithm uses a pattern density function as its objective function, and adopts a multiple-grid system. Meanwhile, to address the key point of algorithm reconstruction speed, we propose the use of neighborhood statistics, the adjacent grid and reversed phase method, and a simplified temperature-controlled mechanism. The pattern density function is a high-order statistical function; thus, when all grids in the reconstruction results converge in the objective functions, the morphological features and statistical properties of the reconstruction results will be consistent with those of the TI. The experiments include 2D reconstruction using one artificial structure, and 3D reconstruction using battery materials and cores. Hierarchical simulated annealing and single normal equation simulation are employed as the comparison algorithms. The autocorrelation function, linear path function, and pore network model are used as the quantitative measures. Comprehensive tests show that 3D porous media can be reconstructed accurately from a single 2D training image by using the method proposed in this paper.

PCR-sequencing is a complementary method to amplification refractory mutation system for EGFR gene mutation analysis in FFPE samples

Amplification Refractory Mutation System (ARMS) is the most popular technology for EGFR gene mutation analysis in China. Cutoff Ct or ΔCt values were used to differentiate low mutation abundance cases from no mutation cases. In this study, all of 359 NSCLC samples were tested by ARMS. Seventeen samples with larger Ct or ΔCt than cutoff values were retested by PCR-sequencing. TKI treatment responses were monitored on the cases with ARMS negative and PCR-sequencing positive results. One exon 18 G719X case, 67 exon 19 deletion cases, 2 exon 20 insertion cases, 1 exon 20 T790M case, 60 exon 21 L858R cases, 5 exon 21 L861Q cases and 201 wild type cases were identified by ARMS. Another 22 cases were evaluated as wild type but had later amplification fluorescent curves. Seventeen out of these 22 cases were retested by PCR-sequencing. It turns out that 3 out of 3 cases with exon 19 deletion later amplifications, 2 out of 2 cases with L858R later amplifications and 4 out of 12 cases with T790M later amplifications were identified as mutation positive. Two cases with exon 19 deletion and L858R respectively were treated by TKI and got responses. Our study indicated that PCR-sequencing might be a complementary way to confirm ARMS results with later amplifications.

Kinetics of reductive stripping of Np(VI) by acetohydroxamic acid from 30%TBP/kerosene to nitrate medium using a high-speed stirred cell

The kinetics of reductive stripping of Np(VI) by Acetohydroxamic Acid from 30%TBP/kerosene was investigated using a high-speed stirred cell designed by ourselves. The phase separator for sampling was simple and powerful. The interfacial areas of different stirring speeds were determined by microphotograph method at 21 ℃ before the experiments. The effects of the different parameters as well as temperature were investigated systemically. The results showed that, at 21 ℃ the rate equation is − d[Np(VI)]/dt = k(S/V)[Np(VI)]0.78[AHA]0.46[HNO3]−0.20 − k′(S/V)[Np(V)]2.87, where k = (8.7 ± 0.7) × 10−7 (mol/L) –0.04m s –1, k′ = 1.1 ± 0.2 (mol/L) –2.87 m s –1, as c[HNO3] <= 1.0 mol/L, − d[Np(VI)]/dt = k(S/V)[Np(VI)]0.78[AHA]0.46[HNO3]−1.42 − k′(S/V)[Np(V)]2.87, where k = (3.2 ± 0.3) × 10−7 (mol/L)1.18 m s –1, k′ = 1.1 ± 0.2(mol/L) –2.87 m s –1 as c[HNO3] >= 1.0 mol/L, and S is the interfacial area, V the organic phase volume. The reductive stripping process is controlled by chemical reactions (kinetics regime) taking place at the interface. The apparent activation energy is 13.5 ± 0.2 kJ/mol.

Reconstruction of three-dimensional porous media from a single two-dimensional image using three-step sampling

A random three-dimensional (3D) porous medium can be reconstructed from a two-dimensional (2D) image by reconstructing an image from the original 2D image, and then repeatedly using the result to reconstruct the next 2D image. The reconstructed images are then stacked together to generate the entire reconstructed 3D porous medium. To perform this successfully, a very important issue must be addressed, i.e., controlling the continuity and variability among adjacent layers. Continuity and variability, which are consistent with the statistics characteristic of the training image (TI), ensure that the reconstructed result matches the TI. By selecting the number and location of the sampling points in the sampling process, the continuity and variability can be controlled directly, and thus the characteristics of the reconstructed image can be controlled indirectly. In this paper, we propose and develop an original sampling method called three-step sampling. In our sampling method, sampling points are extracted successively from the center of 5×5 and 3×3 sampling templates and the edge area based on a two-point correlation function. The continuity and variability of adjacent layers were considered during the three steps of the sampling process. Our method was tested on a Berea sandstone sample, and the reconstructed result was compared with the original sample, using tests involving porosity distribution, the lineal path function, the autocorrelation function, the pore and throat size distributions, and two-phase flow relative permeabilities. The comparison indicates that many statistical characteristics of the reconstructed result match with the TI and the reference 3D medium perfectly.

Study on the technology of U-Pu Co-stripping process for reprocessing spent fuel of fast reactor

To develop an aqueous reprocessing process for spent fuel of fast reactor, a counter current experiment (U-Pu co-stripping) based on a simplified PUREX process was carried out with 30%TBP/Kerosene solution containing U, Pu and HNO3. The experiment was done in a 16-stage miniature centrifugal contactor. The stripping percentage of U was 99.99%, Pu 99.94%. U stripping mainly took place in X1-feeding stage (11.00 mol/L HNO3 feeding stage) to the 16th one, while Pu stripping mainly took place in the first stage to the X1-feeding stage. And a simple method was presented to calculate c U/X1−feeding stage, Org when the X1-feeding stage number is more than 7 and the stripping percentage of U from the X1-feeding stage is more than 99.9% through the rear stages' stripping. The calculation results by this method were validated by Computer Simulation when only changing U concentrations in feed solution from 40.0 g/L to 90.0 g/L or only changing the X1-feeding stage from the 7th stage to the 11th one. Finally the optimized technology was given.

Electrolytic partitioning of uranium and plutonium based on a new type of electrolytic mixer-settler

The design of a new type of electroreduction mixer-settler for the partitioning of uranium and plutonium during the Purex process, which is featured with E-shaped cathodes and U-shaped anodes in settling chamber, is described and the operational results achieved using this equipment are presented. The results show that this new type of mixer-settler has excellent separation performances. The flow rate of organic feed solution is 3 mL/min and the flow ratio of feed solution (1BF) to aqueous back extraction stream (1BX) and to organic wash stream (1BS) is 4/1/1. For an organic feed of 84 g/L uranium and 1.40 ⁓ 2.64 g/L plutonium, both the separation factor of plutonium from uranium and that of uranium from plutonium are apparently higher than 104

Osteoblastogenesis regulation signals in bone remodeling

Bone remodeling is essential for adult bone homeostasis. The failure of this process often leads to the development of osteoporosis, a present major global health concern. The most important factor that affects normal bone remodeling is the tightly controlled and orchestrated regulation of osteoblasts and osteoclasts. The present review summarized the recent discoveries related to osteoblast regulation from several signals, including transforming growth factor-β, bone morphogenetic proteins, Wnt signal, Notch, Eph-Ephrin interaction, parathyroid hormone/parathyroid hormone-related peptide, and the leptin-serotonin-sympathetic nervous systemic pathway. The awareness of these mechanisms will facilitate further research that explores bone remodeling and osteoporosis. Future investigations on the endogenous regulation of osteoblastogenesis will increase the current knowledge required for the development of potential drug targets in the treatment of osteoporosis.