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Organophosphorus poisoning is a critical condition that can cause central nervous system depression, respiratory failure, and death early on. As its clinical manifestations closely resemble those of carbamate pesticide poisoning, the aim of this case study is to present a case of misdiagnosis, initially identifying carbofuran poisoning as organophosphate in a patient suspect of a heatstroke. We also present a case of intentional self-poisoning with organophosphate dichlorvos to underline the likelihood of pesticide poisoning in patients exhibiting acute cholinergic symptoms when the ingested substance is not known. In such cases, empirical treatment with atropine and oxime can be started pending timely differential diagnosis to adjust treatment as necessary.

Abstract Background & aims Tertiary lymphoid structures (TLSs) are predictive biomarkers of favorable clinical outcomes and immunotherapy response in several solid malignancies, including non-small cell lung cancer (NSCLC). However, the relationship between TLSs and NSCLC prognosis has not been eludicated from the aspects of location, density, and maturity. This study aimed to investigate the clinicopathological and prognostic significance of TLSs in NSCLC. Methods A collection of 151 resected pulmonary nodules in patients with NSCLC was retrospectively analyzed. Two experienced pathologists reviewed hematoxylin-eosin (H&E) slides and assessed TLS scores at different anatomic subregions. Then, we analyzed their correlation with clinicopathologic parameters and CD8 staining intensity and assessed multiple clinicopathological factors affecting patient prognosis. Results CD8 expression was correlated with total (TLS-CT) (P = 0.000), aggregates (Agg) (TLS-CT) (P = 0.001), follicles (FOL)-I (TLS-CT) (P = 0.025), and TLS(overall) (P = 0.013). TLS scores in the central tumor (CT) and invasion margin (IM) areas were negatively correlated with distant metastasis and Union for International Cancer Control (UICC) stage in NSCLC patients, while TLS score in the CT area was positively correlated with CD8 expression. TLS (overall), Agg (TLS-CT), and FOL-I (TLS-CT) were positively correlated with distant metastasis, UICC stage, and CD8 expression in NSCLC patients. Agg (TLS-IM) was positively correlated with distant metastasis and UICC stage. FOL-I (TLS-IM) was positively correlated with UICC stage. FOL-II (TLS-IM) was positively correlated with distant metastasis (P

With the rapid development of biomedical science and technology in China, the number of clinical research projects is increasing rapidly, which is accompanied by ethical challenges. In recent years, a number of regional ethics committees have been established in China, and some experience has been gained in regional ethical review, but there is a certain difficulty in implementing it. In response to the difficulties in regional ethical review, the ethical cooperative review mode of medical union with the leading units as the core has been established based on the experience of foreign regional ethical review and the characteristics of the medical consortium structures that have been widely established in the county-level hospitals and prefecture level tertiary hospitals in Jiangsu region. It is expected to give full play to the flexible advantages of regional ethics committees by radiating and promoting the ethical review ability of medical union.

The development of digital technology provides new impetus and methods for rural revitalization in terms of spatial landscape design for intangible cultural heritage (ICH). Digital technology can effectively preserve and transmit cultural heritage and promote the sustainable development of local culture and economy by enhancing its experiential and interactive nature. As an essential carrier of non-heritage culture, rural areas face contradictions between tradition and modernity, conservation and development. In-depth study is needed to understand how to use digital technology to promote rural revitalization while protecting NRLs. This study explores how digital technology can assist non-heritage spatial landscape design in rural revitalization to promote cultural inheritance and regional development. This paper analyzes the landscape design of 18 digitized non-heritage spaces with local characteristics quantitatively and qualitatively. The integration of NRL spaces increased by 30% on average, while visitor satisfaction increased by 25%. At the same time, the inheritance and promotion of local culture were enhanced by 40%. Through the application of digital technology, the recognition, guidance, culture, and diversity of the NRM space have significantly improved. Digital technology enhances the design quality and experience of non-heritage spaces and promotes the development of cultural tourism and economic revitalization in rural areas. The study provides new perspectives and practical paths for protecting and utilizing non-heritage in the context of rural revitalization.

Electric power is vital for the national security, economy, and people’s livelihood of a country. Ensuring the stable and secure supply of electric power is crucial for achieving carbon peaking and carbon neutrality. Therefore, it is imperative to analyze the weaknesses and challenges of power supply security in China and construct a power supply guarantee system that adapts to the new era and facilitate high-quality economic development. Herein, the research progress of power security supply is reviewed, the current status of power supply in China is summarized, and the trend in power security supply in China during the 14th Five-Year period and for the medium and long terms is analyzed. Moreover, considering the recent power rationing incidents, the problems and challenges for power supply in China are summarized and analyzed. On this basis, the basic principles of adhering to security first, a low-carbon path, market-oriented reforms, and technological innovations are proposed, and a three-step roadmap for constructing a new power supply guarantee system is investigated. Furthermore, we propose the following suggestions: (1) enhancing China’s power supply guarantee capabilities to solidify its foundation for power supply security; (2) improving the intrinsic security of power supply by focusing on the demand side; (3) establishing a new-generation technical system for guaranteeing power supply security; and (4) optimizing the market system to construct a power security ecology participated by all.

ObjectiveTo monitor the microbes in urban drinking water in Jiangxi from 2016 to 2020， to analyze the change in microbial qualification rate， and to provide a scientific basis for government decision-making.MethodsAccording to the Standard Examination Method for Drinking Water （GB/T 5750‒2006） and the Standards for Drinking Water Quality （GB 5749‒2006）， the water samples were collected， tested and evaluated for hygienic safety. The chi-square test was used to compare the qualification rates among different water periods， water source types， water supply modes， water samples， treatment processes， and disinfection methods.ResultsA total of 10 584 water samples were collected and examined from 2016 to 2020，with a qualification rate of 97.72%. The qualified rate of the microbiological index increased gradually over the years. There was no statistically significant difference in the microbiological qualification rate of water samples monitored in different water periods （χ2=0.718，P=0.398）， and the qualification rates were 97.85% and 97.60% in dry and abundant water periods respectively. There was a statistically significant difference in the qualification rates of water samples monitored in different water source types （χ2=79.560，P=0.398）， with groundwater having a higher qualification rate of 98.83% than surface water （97.70%）. The microbiological pass rate of water samples differed among different water supply methods （χ2=201.836，P

In recent years, sexual assault cases have been on the rise, seriously infringing the legitimate rights and interests of women and children, causing widespread concern in society. DNA evidence has become the key evidence to prove the facts in sexual assault cases, but lack of DNA evidence or only DNA evidence in some sexual assault cases leads to unclear facts and insufficient evidence. With the emergence of high-throughput sequencing technology and the development of bioinformatics and artificial intelligence, new progress has been made in the study of human microbiome. Researchers have begun to use human microbiome for difficult sexual assault cases indentification. This paper reviews the characteristics of human microbiome, and its application value in the inferences of the body fluid stain origin, the sexual assault method, the crime time, etc. In addition, the challenges faced by the application of the human microbiome in practical case handling, the solutions and future development potential are analyzed and prospected.

The flexibility of the power grid can be significantly promoted by the participation of power customers in dispatch. However, as the uncertainty of customer behavior,the development of demand response services is limited. To solve this problem,the framework of incentive-based demand response is constructed in this paper. The way that load aggregators integrate demand-side resources to participate in the power market is elaborated. And the behavior of power customers responding to incentive policies is transformed into demand elasticity. Then,a data-driven demand elasticity prediction method based on the integrated long short-term memory (LSTM) is proposed. Meanwhile,to improve the performance of the prediction model,the original data is smoothed and scaled,and the weight coefficients of the loss function are added. The simulation results show that,compared with the traditional LSTM algorithm and the k-proximity prediction method,the average forecasting error with the proposed model for the demand elasticity is reduced by 5.33% and 28.8%,and mean absolute percentage error (MAPE) for the total load prediction is reduced by 2.06% and 3.09%. Additionally,based on integrated LSTM,the influence of smoothing and scaling data preprocessing on prediction accuracy is analyzed. The results show that the prediction accuracy can be significantly promoted by data preprocessing.

【Objective】 Waterlogging and thermal stress are two abiotic stresses faced by cotton production in central China. This paper analyzed the spatiotemporal variation in waterlogging (WL), thermal stress (HT), and waterlogging followed by thermal stress (WL-HT) to cotton in Hubei province. 【Method】 Daily precipitation and air temperatures were collected from 26 meteorological stations across the province to calculate the occurrence of WL, HT, WL-HT, as well as the conversion from WL to WL-HT at the seedling, budding, flowering and boll-filling stage, and the boll opening stage. Spatiotemporal variations of these events were calculated using the linear temporal trend method, the moving t-test and the inverse distance interpolation. 【Result】 The last six decades have seen a significant increase in WL (p30%. Huanggang was prone to both WL and WL-HT. In contrast, Xiangyang, Zhongxiang and Jingzhou had a low WL but high WL-HT. 【Conclusion】 Cotton production in Hubei province has seen an increase in waterlogging followed by high temperatures over the recent decade. Timely drainage at the flowering and boll-filling stage when temperature is high in the south-central, northwestern and northeastern province is essential to safeguarding cotton production there.

The Hedgehog (Hh) signaling pathway is critical for embryonic development and tissue renewal. The G protein-coupled receptor (GPCR)-like protein Smoothened (SMO) is the central signal transducer in the Hh pathway. Cholesterol binds and then covalently links to the D95 residue of cysteine-rich domain (CRD) of human SMO. The cholesterylation of CRD is critical for SMO activation. SMO cholesterylation is a Ca2+-boosted autoreaction that requires the formation of an ester bond between the side chains of D95 and Y130 as an intermediate. It is unknown whether other residues of SMO are involved in the esterification between D95 and cholesterol. In this study, we find that the SMO-CRD(27–192) can undergo cholesterylation. In addition to D95 and Y130, the residues critical for cholesterol modification include Y85, T88, T90, W109, W119, K133, E160 and F166. T88, W109, W119 and F166 also seem to be involved in protein folding. Notably, we find that Y85 and K133 form a cation-π interaction whose disruption abolishes cholesterylation and ciliary localization of SMO. This study highlights the mechanism and function of cholesterol modification of SMO.

The ceramic particles of different types and sizes reinforced stainless steel composite coatings were successfully prepared by high-velocity air fuel (HVAF) spraying technique. The effects of the types and sizes of ceramic particles on the hardness, porosity and corrosion resistance of the composite coating were systematically studied. The microstructure, hardness and corrosion behavior of stainless steel/ceramic particle composite coating were systematically characterized and analyzed by scanning electron microscope, automatic hardness tester, Image Pro Plus software and electrochemical workstation. The results show that the larger brown alumina (Al2O3) particles reinforced stainless steel composite coating has low porosity (0.7863%), high hardness (637HV0.1) and excellent corrosion resistance, and its self-corrosion potential is -454.14 mV and self-corrosion current density is 22.208 mA·cm-2. The fine silicon carbide (SiC) particles reinforced stainless steel composite coating also has a relatively high hardness (600HV0.1) and good corrosion resistance, and its self-corrosion potential is -463.68 mV and self-corrosion current density is 23.738 mA·cm-2.

Non-destructive stress characterization is essential for gate-all-around (GAA) nanosheet (NS) transistors technology, while it is a big challenge to be realized on nanometer-sized GAA devices by using traditional Micro-Raman spectroscopy due to its light spot far exceeding the device. In this work, a non-destructive stress characterization methodology of confocal Raman spectroscopy was proposed and performed for GAANS device fabrication. Channel stress evolution along the fabrication process was successfully characterized by designing high-density NS array and analyzing the linear scanned spectra in different structures. The related mechanism of stress evolution was systematically studied by Sentaurus process simulation. Additionally, applying this methodology on detecting the bending of suspended NS after channel release process was demonstrated. Therefore, this work might provide a promising solution to realize in-line characterization of channel stress in GAA NS transistors and process monitor of NS channel integrity.

[Introduction] With incessant grid-connection of wind farms and photovoltaic power stations, the development of regional power grid structure cannot keep pace with the growth rate of new energy unit capacity, characteristics of multi-energy mix and hierarchical features of section bring difficulties to the formulation of day-ahead generation scheduling, for this reason, a method for multi-level and multi-energy day-ahead generation scheduling considering the safety constraint of the section and the fairness of dispatch was proposed. [Method] This paper presented a depth-first search for the restricted section, and proposed an output limitation allocation strategy based on information entropy. A fairness calculation method was constructed by using the concept of information entropy in economics to guide the quantitative indicators for evaluating scheduling fairness. [Result] Under the circumstances of ensuring that the cross-sectional current is close to the stability limit, the active power of each power plant is distributed reasonably and equitably, thereby realizes the full utilization of wind and solar resources. [Conclusion] Through a practical example of a regional power grid, it is proved that this method can solve the existing problems in new energy day-ahead generation scheduling and has good practical application value.

This study aimed to explore the role of miR-380-5p in cerebral ischemia/reperfusion (CIR) injury-induced neuronal cell death and the potential signaling pathway involved.

【Background】 Nonpoint source pollution from managed ecosystems is a major environmental concern in many countries. Using models to simulate contaminant movement in agricultural systems under different managements can help improve water management and reduce nitrogen loss. 【Objective】 The purpose of this paper is to study the movement and reaction of water and nitrogen in paddy field under different irrigation and drainage, with a view to improve water conservation and reduce gas emission from rice production in southern China. 【Method】 We used the DRAINMOD model to simulate water flow and nitrogen transport; the sensitivity of the simulated results to its parameters was quantified using the Morris analysis. 【Result】 Horizontal saturated hydraulic conductivity in the 20~40 cm soil layer affected the simulation results most; diffusion coefficient, denitrification and nitrification parameters, decomposition of soil organic matter all had a significant impact on the simulated nitrogen dynamics. The DRAINMOD model was able to simulate water and nitrogen dynamics in soil under different irrigations and drainages, and the difference between the simulated and measured drainage and irrigation amounts and the total load of nitrogen runoff was less than 11%. Compared with traditional irrigation and drainage, controlled irrigation and drainage reduced drainage amount by 33.0%~72.6%, irrigation amount by 9.7%~37.1%, ammonium runoff load by 43.6%~45.0%, and nitrate runoff load by 29.8%~53.1%. 【Conclusion】 Controlled irrigation and drainage can effectively reduce gas emission, drainage and nitrogen loss from the paddy field, and the DRAINMOD model is able to simulate water flow and contaminant transport in paddy fields under different irrigation and drainage managements.

This paper aimed to research the function and in-depth mechanism of GPR37 in lung adenocarcinoma (LUAD). Herein, based on TCGA and Oncomine databases, we revealed that GPR37 was expressed at high levels in LUAD, and upregulation of GPR37 was related to the poor outcomes. Furthermore, biological function experiments in vitro were utilized to assess whether GPR37 impacts malignant phenotype of LUAD cells. Gain- or loss-of-function assays indicated that the upregulation of GPR37 contributed to improving the proliferation, migration, and invasion of LUAD cells in vitro, while knockdown of GPR37 can inhibit the malignant biological behaviors. Then, we found that depletion of GPR37 resulted in a decrease in the expression of TGF-β1 as well as the extents of Smad2 and Smad3 phosphorylation, while overexpression of GPR37 presented opposite outcomes. Altogether, our findings indicated that GPR37 is a potential oncogene of LUAD, and its promoting effects on the malignant progression of LUAD may be realized via TGF-β/Smad pathway.

We propose reconfiguration of the conventional feedback scheme to suppress the external-cavity time-delay signature (TDS) by adding noise phase modulation in the feedback of semiconductor laser. Noise-phase-modulated feedback introduces broad band noise frequencies into the feedback light and enables the suppression of the TDS. In this work, by means of simulations, the effect on TDS suppression of phase modulation (PM) index is explored. In addition, the influence of noise bandwidth variation is investigated. Using the auto-correlation function to quantity the TDS, we find that, for a large range of operating parameters, the TDS is significantly suppressed to the noise level and even submerged into the base noise. It is shown that suppression TDS is achievable over a wide operating parameter provided the noise generator bandwidth is of order 10 GHz and the PM index is greater than about 3. The proposed configuration will have widespread applications in contexts where suppression of the TDS is required.

UAV plant protection operation faces very complicated environmental conditions. On one hand, its ultra low altitude operations are vulnerable to ground structures and basic hydropower facilities; on the other hand, the effectiveness of plant protection operation is strong, and it is necessary to spray the pesticides to the specific parts of crops at the prescribed time so as to ensure good pesticide application effect. At present, UAV plant protection technology mainly refers to the existing mature technology and flight platform in general aviation field to basically "fly and spray". However, the lack of penetrating research and theoretical guidance on environmental perception in farmland operation, the movement mechanism of droplets under the rotor airflow, and the penetrability of the droplet to different crops canopy lead to low penetration rate of the UAV plant protection operation, easy drifting, frequent accidents, large damage probability and low comprehensive operational efficiency. Benefiting from the breakthroughs in artificial intelligence, parallel computing technology and intelligent hardware, the UAV plant protection technology is developing in the direction of intellectualization, systematization and precision. The real-time perception of the environment under non established conditions, intelligent job decision method based on intelligent recognition of crop diseases and pests, the control of the toward-target pesticide spraying control based on the variable of wind field droplet deposition model and the data based job evaluation system have gradually become the key technology of the UAV intelligent plant protection. The manuscript analyzed and summarized the research status and technical achievements in the field of UAV intelligent plant protection from the field information perception, the modeling and optimization control of accurate pesticide application, the evaluation and monitoring of the operation effect. Based on the existing research, the research also predicted the development trend of the key technologies of intelligent UAV plant protection in the future. The clustering method of hyper-spectral image acquisition and computational intelligence based deep learning recognition will become the key technology for real-time and efficient acquisition of crop target information in plant protection work, which greatly improves the accuracy of remote sensing information inversion recognition; machine vision and multi machine cooperative sensing technology can acquire dynamic information of field operation at multiple levels and time; the high precision droplet spectrum control technology independently controlled by nozzle design and the precision variable spraying control technology based on the wind field model can further improve the droplet deposition effect and reduce the liquid drifting; the breakthrough of high accuracy mesh solution technology will change the prediction mode of droplet drift from artificial experience judgment to computer simulation and numerical deduction; the job path planning technology will greatly improve the efficiency of multi machine and multi area operation and reduce the distance of invalid operation; the job quality evaluation based on the real-time data of the sensor and the operation supervision system of large data technology will replace people to effectively control the process of the UAV plant protection operation, achieve data and transparency of plant protection, and ensure the process is observable and controllable.

In the present work, the hollow MgO spheres were synthesized through a facile wet-chemistry method. X-ray diffraction, scanning electron microscopy, transmission electron microscopy, and energy dispersive spectrum are employed to characterize the as-prepared sample. Those results indicate that the average size of the as-prepared MgO hollow spheres is about 2 μm. Also, the MgO hollow spheres have the polycrystalline and porous structure, which would provide large specific surface area and plenty active sites for fluoride adsorption. The adsorption properties of the MgO hollow spheres towards fluoride are investigated. The fluoride adsorption kinetics of the MgO hollow spheres fits well the pseudo-second-order model. Also, the kinetic data revealed that the fluoride adsorption was rapid, more than 83% of fluoride could be removed within 40 min. The fluoride adsorption capacity of the hollow MgO spheres is larger than 182.4 mg/g at a pH of 7.0. The as-prepared products maintain excellent adsorption performance in the pH range of 3–11. In addition, the adsorption mechanism also has been discussed. From the FTIR results, a hydroxyl and carbonate coexchange mechanism is proposed. It is believed that the hollow MgO spheres are a potential candidate for fluoride removal.

Abstract Background With the rapid development of deep sequencing techniques in the recent years, enhancers have been systematically identified in such projects as FANTOM and ENCODE, forming genome-wide landscapes in a series of human cell lines. Nevertheless, experimental approaches are still costly and time consuming for large scale identification of enhancers across a variety of tissues under different disease status, making computational identification of enhancers indispensable. Results To facilitate the identification of enhancers, we propose a computational framework, named DeepEnhancer, to distinguish enhancers from background genomic sequences. Our method purely relies on DNA sequences to predict enhancers in an end-to-end manner by using a deep convolutional neural network (CNN). We train our deep learning model on permissive enhancers and then adopt a transfer learning strategy to fine-tune the model on enhancers specific to a cell line. Results demonstrate the effectiveness and efficiency of our method in the classification of enhancers against random sequences, exhibiting advantages of deep learning over traditional sequence-based classifiers. We then construct a variety of neural networks with different architectures and show the usefulness of such techniques as max-pooling and batch normalization in our method. To gain the interpretability of our approach, we further visualize convolutional kernels as sequence logos and successfully identify similar motifs in the JASPAR database. Conclusions DeepEnhancer enables the identification of novel enhancers using only DNA sequences via a highly accurate deep learning model. The proposed computational framework can also be applied to similar problems, thereby prompting the use of machine learning methods in life sciences.

Abstract Background The application of mycophenolate mofetil (MMF) in treating patients with immunoglobulin A nephropathy (IgAN) remains uncertain. This update meta-analysis was performed to re-evaluate the therapeutic potential of MMF in IgAN. Methods Articles were obtained by searching the electronic databases without language restriction. Randomized controlled trials studying the role of MMF in treating IgAN were collected. The quality of included studies was critically evaluated. Data analyses were performed by using RevMan 5.3 software. Results A total of 297 articles were screened and eight articles were finally included. Among the eight randomized controlled trials, five and three were high quality and low quality, respectively. Both fixed-effect and random-effect model were used. Pooled results by combining all the eight studies suggested that IgAN patients in MMF group had a higher remission rate than that in control group. Compared to placebo or corticosteroid monotherapy, MMF monotherapy exerted a higher remission rate and side effect rate in both main analysis and subgroup analysis by human race. Compared to corticosteroid plus other immunosuppressive agent therapy, corticosteroid plus MMF therapy had a higher remission rate, lower serum creatinine doubling rate, progression to end-stage renal disease rate and side effects rate. Subgroup analysis by therapeutic regimen further confirmed these results between corticosteroid plus MMF therapy and corticosteroid plus cyclophosphamide therapy. Funnel-plot displayed a symmetrical figure, indicating no publication bias existed. Conclusions MMF has the potential in treatment of IgAN, especially for Asians. The evidence currently available shows that MMF monotherapy has a more efficacy but higher side effects when compared to placebo or corticosteroid monotherapy in treatment of Asians with IgAN. While MMF combined with corticosteroid regimen has a more efficacy and lower side effects when compared with corticosteroid plus cyclophosphamide regimen.

Seagrass meadows (Zostera marina) are important coastal ecosystems with high levels of productivity and biodiversity. They often have high biomass turnover and are susceptible to dislodgment, leading to export of biomass from seagrass beds. In September 2016, two cruises covering a total area of 52 km x 15 km (38°57'1.14"-39° 0'41.28" N, 118°45'23.22"-118°47'6.96" E) found floating Z. marina aggregations along 13 km of the transect in the northernmost area of Bohai Bay, in the Bohai Sea, China. This floating seagrass was 6.3-13.4 km northeast (offshore) of the Caofeidian seagrass bed, which is a large (10 km2) seagrass bed discovered in 2015 in the Bohai Sea, China. The modal length of floating intact shoots (from meristem to longest leaf tip) matched samples from the Caofeidian seagrass bed. The dominant individuals lengths were 40-50 cm, with less than 5% of the total number of individuals found in larger size categories (80-90 and 90-100 cm). We concluded that they originated from the nearby Caofeidian seagrass meadows.