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Repetitive transcranial magnetic stimulation (rTMS) over the left dorsolateral prefrontal cortex (DLPFC) has been found could reduce the craving of heroin dependent (HD) individuals, but the underlying mechanisms of the anti-craving effect of rTMS is unknown. It has been shown that abnormalities in the default mode network (DMN) are consistent findings in HD individuals, in which the craving was involved. We assessed the effect of rTMS on the activity of the DMN and the relation to treatment response. Thirty HD individuals were included in this self-controlled study. All HD participants received a 7-times 10Hz rTMS during a week. The craving, withdrawal symptom and resting-state functional magnetic resonance imaging data were collected before and after the rTMS treatment. Thirty demographically matched healthy subjects who did not receive rTMS were included as controls. We focused on the change of coupling seeded from the medial prefrontal cortex (MPFC), posterior cingulate cortex (PCC) and bilateral inferior parietal lobe (IPL) which are core regions of the DMN. The craving and withdrawal symptom score of the HD individuals significantly decreased after rTMS treatment. The left IPL-left middle frontal gyrus coupling and the left IPL-right inferior occipital gyrus coupling significantly decreased, and the change of the left IPL-left middle frontal gyrus coupling positively correlated with the change of the drug-cue induced craving. The rTMS could modulate the coupling between the DMN and ECN. The alteration of the left IPL-left middle frontal gyrus coupling may play an important mechanistic role in reducing the drug-cue induced craving.

Both methamphetamine use disorder (MAUD) and heroin use disorder (HUD) implicated in substance-induced psychosis, but the psychiatirc symptoms induced by MAUD and HUD are significantly different. The functional network organizations that may underlie these differences remains unknown. Image data was acquired by resting-state fMRI from 19 MAUD patients, 21 HUD patients, and 20 healthy controls. The small-world properties, node attributes, and functional connectivity of brain regions were analyzed among the three groups. Psychiatric status was evaluated by the Symptom Checklist 90 in all participants. The MAUD patients had significantly higher psychiatric scores than the controls and HUD patients. Both MAUD and HUD patients still had economical small-world properties. The MAUD patients showed increased nodal efficiency and betweenness centrality in the right inferior occipital gyrus, left insular lobe, bilateral Heschl gyrus, and bilateral superior temporal gyrus, while the node attributes decreased in the right parahippocampal gyrus and right hippocampus compared to the HUD patients. The MAUD patients also showed reduced edge connectivity between left dorsolateral prefrontal cortex (dlPFC) and left middle occipital gyrus (MOG), as well as between bilateral orbitofrontal cortex (OFC) and bilateral superior occipital gyrus (SOG), left MOG, or right cuneus. In the MAUD group, the functional connection between left dlPFC and left MOG was negatively correlated with depression, while the connection between right cuneus lobe and right OFC was negatively correlated with depression and interpersonal sensitivity. These brain regions related to cognitive, emotional, and auditory/visual regulation may play an important role in the psychiatric symptoms of MAUD.

This paper proposes a method for modelling volatilities (conditional covariance matrices) of high dimensional dynamic data. We combine the ideas of approximate factor models for dimension reduction and multivariate GARCH models to establish a model to describe the dynamics of high dimensional volatilities. Sparsity condition and thresholding technique are applied to the estimation of the error covariance matrices, and quasi maximum likelihood estimation (QMLE) method is used to estimate the parameters of the common factor conditional covariance matrix. Asymptotic theories are developed for the proposed estimation. Monte Carlo simulation studies and real data examples are presented to support the methodology.

Backgroud To summarize the clinical characteristics and identify the risk factors for pediatric Takayasu arteritis (TAK) with coronary artery lesions (CALs). Methods Clinical data of pediatric TAK patients in our center were retrospectively assessed. Independent risk factors for CALs were identified using multivariate logistic regression analysis. Survival analysis was used to compare differences in survival rates between the groups. Results Among the 66 pediatric TAK cases, the incidence of accompanying CALs was 39.4%. In the CAL group, 19 (73.1%) cases started within 36 months. None of the patients had symptoms of angina or ischemia on electrocardiogram (ECG), the CALs were detected using coronary ultrasound. The CALs most commonly were the left main and right coronary arteries. The lesions were mostly small or middle coronary artery aneurysms; some children may have giant coronary aneurysmal dilations, thrombosis and heart failure. The age of onset and symptom onset to diagnosis in TAK patients with CAL were lower than those in TAK patients without CAL(P Conclusion This study showed that the occurrence of CAL in pediatric TAK patients has a relatively more rapid clinical course, and a stronger inflammatory state at the time of diagnosis. The earlier the age of TAK onset and without RAS are more likely to cause CAL.

The application of totally implantable access ports (TIAPs) reduces treatment-related discomfort; however, the existence of catheter may cause side effects, with the most common one being the occurrence of TIAPs-associated thrombosis. The risk factors for TIAPs-associated thrombosis in pediatric oncology patients have not been fully described. A total of 587 pediatric oncology patients undergoing TIAPs implantation at a single center over a 5-year period were retrospectively analyzed in the present study. We investigated the risk factors for thrombosis, emphasizing the internal jugular vein distance, by measuring the vertical distance from the highest point of the catheter to the upper border of the left and right extremitas sternalis claviculae on chest X-ray images. Among 587 patients, 143 (24.4%) had thrombosis. Platelet count, C-reactive protein, and the vertical distance from the highest point of the catheter to the upper border of the left and right extremitas sternalis claviculae were demonstrated to be the main risk factors for the development of TIAPs-associated thrombosis. TIAPs-associated thrombosis, especially asymptomatic events, is common in pediatric cancer patients. The vertical distance from the highest point of the catheter to the upper border of the left and right extremitas sternalis claviculae was a risk factor for TIAPs-associated thrombosis, which deserved additional attention.

Background Circular RNAs (circRNAs) have important regulatory functions in cancer, but the role of circRNAs in the tumor microenvironment (TME) remains unclear. Moreover, we also explore the effects of si-circRNAs loaded in nanoparticles as therapeutic agent for anti-tumor in vivo. Methods We conducted bioinformatics analysis, qRT-PCR, EdU assays, Transwell assays, co-culture system and multiple orthotopic xenograft models to investigate the expression and function of circRNAs. Additionally, PLGA-based nanoparticles loaded with si-circRNAs were used to evaluate the potential of nanotherapeutic strategy in anti-tumor response. Results We identified oncogene SERPINE2 derived circRNA, named as cSERPINE2, which was notably elevated in breast cancer and was closely related to poor clinical outcome. Functionally, tumor exosomal cSERPINE2 was shuttled to tumor associated macrophages (TAMs) and enhanced the secretion of Interleukin-6 (IL-6), leading to increased proliferation and invasion of breast cancer cells. Furthermore, IL-6 in turn increased the EIF4A3 and CCL2 levels within tumor cells in a positive feedback mechanism, further enhancing tumor cSERPINE2 biogenesis and promoting the recruitment of TAMs. More importantly, we developed a PLGA-based nanoparticle loaded with si-cSERPINE2, which effectively attenuated breast cancer progression in vivo. Conclusions Our study illustrates a novel mechanism that tumor exosomal cSERPINE2 mediates a positive feedback loop between tumor cells and TAMs to promote cancer progression, which may serve as a promising nanotherapeutic strategy for the treatment of breast cancer.

Studies comparing the efficacy and safety of R-CHOP and modified non-Hodgkin lymphoma Berlin-Frankfurt-Münster-90 (NHL-BFM-90) regimens in children and adolescents with diffuse large B-cell lymphoma (DLBCL) are lacking. Thus, we retrospectively analyzed 85 DLBCL patients aged ≤18 years from 2000 to 2020; 74 patients received the modified NHL-BFM-90 regimen, and 11 received the R-CHOP regimen. The 5-year OS and event-free survival (EFS) rates between the modified NHL-BFM-90 and R-CHOP regimens were 91.0% vs. 90.9% (P = 0.466) and 89.8% vs. 68.6% (P = 0.055), respectively. In the stratified analysis, the survival outcome of pediatric patients treated with the modified NHL-BFM-90 regimen was not significantly different from that of adolescent patients. The OS and EFS rates of patients with early-stage disease were both 100%. Patients in the advanced-stage group who were treated with the modified NHL-BFM-90 regimen had superior EFS rates (P0.05). The frequency of severe adverse events from the two regimens was similar. There were no treatment-related deaths. We concluded that the modified NHL-BFM-90 regimen has better efficacy than R-CHOP in DLBCL patients with advanced-stage disease. However, the R-CHOP regimen might be an option for early-stage DLBCL. Further prospective studies are needed to guide clinical decisions about treatment.

Decreasing energy consumption is critical to sustainable development. Because temperature regulation for human comfort consumes vast amounts of energy, substantial research efforts are currently directed towards developing passive personal thermal management techniques that cool the human body without any energy consumption1–9. Although various cooling textile designs have been proposed previously, textile-based daytime radiative cooling to a temperature below ambient has not been realized6–13. Silk, a natural protein fabric produced by moth caterpillars, is famous for its shimmering appearance and its cooling and comforting sensation on skin14–17. It has been recently recognized that silk, with its optical properties derived from its hierarchical microstructure, may represent a promising starting point for exploring daytime radiative cooling18–21. However, the intrinsic absorption of protein in the ultraviolet region prevents natural silk from achieving net cooling under sunlight. Here we explore the nanoprocessing of silk through a molecular bonding design and scalable coupling reagent-assisted dip-coating method, and demonstrate that nanoprocessed silk can achieve subambient daytime radiative cooling. Under direct sunlight (peak solar irradiance >900 W m–2) we observed a temperature of ~3.5 °C below ambient (for an ambient temperature of ~35 °C) for stand-alone nanoprocessed silks. We also observed a temperature reduction of 8 °C for a simulated skin when coated with nanoprocessed silk, compared with natural silk. This subambient daytime radiative cooling of nanoprocessed silk was achieved without compromising its wearability and comfort. This strategy of tailoring natural fabrics through scalable nanoprocessing techniques opens up new pathways to realizing thermoregulatory materials and provides an innovative way to sustainable energy. Processing silk through a molecular bonding design and scalable coupling reagent-assisted dip-coating method can lead to subambient daytime radiative cooling.

Knowledge graph completion(KGC) has attracted increasing attention in recent years, aiming at complementing missing relationships between entities in a Knowledge Graph(KG). While the existing KGC approaches utilizing the knowledge within KG could only complement a very limited number of missing relations, more and more approaches tend to study the completion of the multi-relationship knowledge graph. However, the existing completion methods of multi-relation knowledge graph regard knowledge graph as an undirected graph, which ignores the directionality of knowledge graph, so that the potential characteristics of multi-relation cannot be learned. Besides, most algorithms fail to explore the local information of knowledge because they ignore the different importance of entity adjacencies. In this paper, we propose to use local information fusion to join the entity and its adjacency relation, to acquiring the multi-relation representation. In addition, we try to specify distinct weights to model the direction of the relationship and apply the attention mechanism between entity nodes to obtain local information between entity nodes. Experiments conducted on three benchmark datasets and a medical domain knowledge graph dataset that we collect demonstrate the effectiveness of the proposed framework.

We studied five cases of PID-related monogenic lupus to explore the characteristics. Among 42 cases of PID patients between 2017–2020, 5 patients were diagnosed as PID-related monogenic lupus, including 2 males and 3 females, with age range from 2 years 3 months to 13 years old. DMARDs, biological agents and stem cell transplantation were used to treat different patients. We collected the clinical observation indicators, auxiliary examination and treatment of the five patients. Patient 1 was diagnosed with monogenic lupus secondary to severe combined immunodeficiency and received prednisone and methotrexate treatment. Patient 2 was diagnosed with monogenic lupus secondary to activated phosphoinositide 3-kinase δ syndrome. Allogeneic stem cell transplantation was conducted. Patient 3 was diagnosed with monogenic lupus secondary to RAS‐associated lymphoproliferative disease. The child was treated with prednisone and rituximab. Patient 4 was diagnosed with monogenic lupus secondary to PSTPIP1-associated myeloid-related proteinaemia inflammatory syndrome. The child was given methylprednisolone, methotrexate, and infliximab. Patient 5 was diagnosed with monogenic lupus secondary to A20 haploinsufficiency. The child was treated with methylprednisolone and infliximab. Multiple PIDs can lead to monogenic lupus. Different PID-related monogenic lupus has different suitable targeted drugs.

Background There is insufficient evidence on the clinical effectiveness and safety of infliximab (IFX) treatment of Takayasu arteritis (TA) in infants. Methods We evaluated the therapeutic effectiveness and safety of IFX in a retrospective case series of 10 infantile TA patients. Observations included assessment of clinical symptoms, laboratory testing, and vascular imaging. Results Fever was the presenting symptom for 8 of 10 infants with TA. During acute episodes, leucocyte and inflammatory indices were significantly increased. Vascular imaging showed the most commonly involved arteries to be carotid arteries, abdominal aortas, and coronary arteries (9 cases, 90%). Two weeks after initiating IFX treatment, leukocyte and platelet counts decreased and hemoglobin levels increased. There were statistically significant clinical improvements 6 weeks after starting treatment compared with before treatment (p p Conclusions Fever was the main manifestation of illness and was often accompanied by significantly increased inflammatory indices. IFX treatment was apparently effective and reduced or eliminated need for glucocorticoids. IFX had a reasonably good safety profile.

The progress on human pose estimation by deep neural networks has been significantly advanced in recent years. However, the problem of precision loss caused by the prediction of the coordinates back to the original image has been neglected. In this paper, we propose a simple but effective method using Heatmap and Offset for Pose Estimation (HOPE). In order to solve the human pose estimation problem, firstly a general top-down method is used in HOPE to generate the human detection box based on a detector, and then the keypoints in each cropped box image are located. To alleviate the precision loss of mapping process, HOPE embeds the coordinate offset into the structure of the neural network, allowing the network to self-learn the slight offset in the mapping process in an end-to-end manner, which improves the accuracy in the current field of pose estimation. Experimental results on the multi-person pose estimation dataset MSCOCO, the single-person pose estimation dataset MPII and CrowdPose Pose Estimation dataset indicate that our method achieves state-of-the-art performance in terms of accuracy and computational complexity.

Knowledge graph completion has become a well-studied problem and a non-trivial task with the broad application of the knowledge graphs. Previously, a lot of works have been proposed to solve the knowledge graph completion problem, for example, a series of Trans model, semantic matching models, convolutional neural networks based methods and so on. However, a series of Trans models and semantic matching models only focused on the shadow information of the knowledge graph, thus failed to capture the implicit fine-grained feature in the triple of knowledge graphs; convolutional neural networks based methods learned more expressive feature for knowledge graph completion, and it also ignored the directional relation characteristic and implicit fine-grained feature in the triple. In this paper, we propose a novel knowledge graph completion model named directional multi-dimensional attention convolution model that explores directional information and an inherent deep expressive characteristic of the triple. At last, we evaluate our directional multi-dimensional attention convolution model based on three standard evaluation criteria in two robust datasets, and the experiment shows that our model achieves state-of-the-art MeanRank.

Protracted abstinence (PA) and Methadone maintenance treatment (MMT) are two main types of heroin addiction treatment, however, the effects of both measures on the functional connectivity (FC) of the brain in heroin dependents in the drug cue event-related response are unclear. Functional magnetic resonance imaging (fMRI) based drug cue-reactivity task has been widely used in addiction research, which may provide a new way to understand the change of brain function during a certain period of treatment. The default function network (DMN) with posterior cingulate cortex (PCC) as the core is generally involved in the process of addiction. The aim of the present study was to explore the brain response of FC in patients with heroin-dependent during PA, MMT treatment under task-fMRI. Twenty-two heroin-dependent patients during PA, 18 heroin-dependent patients during MMT and 16 healthy control (HC) individuals were included to conduct the heroin cue-reactivity task during fMRI. The MMT and PA patients' subjective craving for heroin was evaluated. The psychophysiological interaction (PPI) analysis of SPM12 was used to get FC during the task state. There was a significant difference on FC between PCC and the right medial Prefrontal Cortex (mPFC) in three groups. The post-hoc analysis showed that there was a significant difference of brain regions between the MMT and the PA group. The FC of PCC-mPFC in the MMT group was significantly stronger than that in the PA group. Compared with the PA group, the FC of the DMN in the MMT group was significantly increased under drug cue response. Therefore, PA is more beneficial for the heroin-dependent patients to lower the salience value of drug related cues, in turn to reduce relapse risks. It also reflected the important role of PCC-mPFC pathway in heroin dependents induced by heroin cues.

Background 25-hydroxy vitamin D [25-(OH)D] is widely used to determine vitamin D status in clinic. The aim of our study was to evaluate the prognostic value of 25-(OH)D in extranodal NK/T cell lymphoma (ENKTL). Materials and Methods Ninety-three ENKTL patients with available serum 25-(OH)D values were enrolled in our study. Vitamin D deficiency is defined as a 25-(OH)D below 50 nmol/L. Univariate and multivariate regression analyses were performed to determine independent risk factors for progression-free survival (PFS) and overall survival (OS). Subgroup analyses were performed to determine the applicable subgroups. Receiver operator characteristic (ROC) curves were plotted to estimate the accuracy of PINK-E (prognostic index of natural killer lymphoma added with Epstein-Barr virus-DNA status) and 25-(OH)D deficiency in ENKTL risk-stratification. Results Our results suggested that vitamin D deficiency was an independent inferior prognostic factor for both PFS [hazard ratio (HR), 2.869; 95% confidence interval (CI), 1.540 to 5.346; P = 0.003] and OS (HR, 3.204; 95%CI, 1.559 to 6.583; P = 0.006) in ENKTL patients with age ≤ 60, ECOG PS ≤ 1, stage III‒IV and PINK-E score ≥ 3. Additionally, we demonstrated that adding 25-(OH)D deficiency to PINK-E score system indeed has a superior prognostic significance than PINK-E alone for PFS [AUC: 0.796 (95% CI: 0.699 to 0.872) vs. 0.759 (95% CI: 0.659 to 0.841), P = 0.020] and OS [AUC: 0.755 (95% CI: 0.655 to 0.838) vs. 0.721 (95% CI: 0.618 to 0.809), P = 0.040]. Conclusion In conclusion, our study proved that 25-(OH)D deficiency was associated with inferior survival outcomes of ENKTL patients.

Monolithic all-perovskite tandem solar cells offer an avenue to increase power conversion efficiency beyond the limits of single-junction cells. It is an important priority to unite efficiency, uniformity and stability, yet this has proven challenging because of high trap density and ready oxidation in narrow-bandgap mixed lead–tin perovskite subcells. Here we report simultaneous enhancements in the efficiency, uniformity and stability of narrow-bandgap subcells using strongly reductive surface-anchoring zwitterionic molecules. The zwitterionic antioxidant inhibits Sn2+ oxidation and passivates defects at the grain surfaces in mixed lead–tin perovskite films, enabling an efficiency of 21.7% (certified 20.7%) for single-junction solar cells. We further obtain a certified efficiency of 24.2% in 1-cm2-area all-perovskite tandem cells and in-lab power conversion efficiencies of 25.6% and 21.4% for 0.049 cm2 and 12 cm2 devices, respectively. The encapsulated tandem devices retain 88% of their initial performance following 500 hours of operation at a device temperature of 54–60 °C under one-sun illumination in ambient conditions. Ensuring both stability and efficiency in mixed lead–tin perovskite solar cells is crucial to the development of all-perovskite tandems. Xiao et al. use an antioxidant zwitterionic molecule to suppress tin oxidation thus enabling large-area tandem cells with 24.2% efficiency and operational stability over 500 hours.

While mullite is a significant oxide ceramic material, its current preparation process has many limitations such as complicated process, low efficiency, and high cost. In this paper, directed laser deposition (DLD) was used to prepare mullite ceramics directly using α-Al2O3 and SiO2 powder as raw materials. The phase composition, microstructure, and primary defects of prepared samples were investigated by XRD, Raman spectroscopy, and SEM/EDS. Vickers indentation and three-point bending experiments were used to evaluate mechanical properties. The results showed that microstructure was mainly composed of a mullite crystal phase and Si-rich glass phase. It is shown that mullite ceramics were successfully synthesized in situ during the DLD process with the use of Al2O3 and SiO2 powder. Morphology of mullite crystal inside cylindrical sample was particular “tabular cellular,” which transformed into “rod cellular” at the edge. Two mullite crystals were arranged along deposition direction basically, surrounded by the Si-rich glass phase. The defects included pores with various sizes and crack, in which large pores were mainly distributed at the edge of the sample, and small pores were throughout the section. The crack was distributed in the center of the sample and spread to the edge. Mechanical properties test showed flexural strength, microhardness, and fracture toughness were 62.8 ± 30.3 MPa, 12.7 ± 0.34 GPa, and 1.84 ± 0.14 MPa·m1/2, respectively. It is considered that pores and crack were responsible for poor mechanical properties. This research is expected to provide a new option for the rapid preparation of mullite ceramics.

Plasmonics enables the manipulation of light beyond the optical diffraction limit1–4 and may therefore confer advantages in applications such as photonic devices5–7, optical cloaking8,9, biochemical sensing10,11 and super-resolution imaging12,13. However, the essential field-confinement capability of plasmonic devices is always accompanied by a parasitic Ohmic loss, which severely reduces their performance. Therefore, plasmonic materials (those with collective oscillations of electrons) with a lower loss than noble metals have long been sought14–16. Here we present stable sodium-based plasmonic devices with state-of-the-art performance at near-infrared wavelengths. We fabricated high-quality sodium films with electron relaxation times as long as 0.42 picoseconds using a thermo-assisted spin-coating process. A direct-waveguide experiment shows that the propagation length of surface plasmon polaritons supported at the sodium–quartz interface can reach 200 micrometres at near-infrared wavelengths. We further demonstrate a room-temperature sodium-based plasmonic nanolaser with a lasing threshold of 140 kilowatts per square centimetre, lower than values previously reported for plasmonic nanolasers at near-infrared wavelengths. These sodium-based plasmonic devices show stable performance under ambient conditions over a period of several months after packaging with epoxy. These results indicate that the performance of plasmonic devices can be greatly improved beyond that of devices using noble metals, with implications for applications in plasmonics, nanophotonics and metamaterials. A thermo-assisted spin-coating process followed by packaging is used to fabricate sodium films that are stable for several months, enabling the realization of plasmonic devices with state-of-the-art performance at near-infrared wavelengths.

GPS-based surface drifters were used to investigate the surface currents in Daya Bay and along the eastern Guangdong coast in China. Surface current vectors were measured based on the GPS location and corresponding time information sent by drifters through the mobile phone network. The analysis of data from 120 drifters, deployed in late spring 2018 in the case-study region, shows that the drifters are generally capable of capturing the surface (tidal and residual) currents. The drifter trajectories suggest an anticlockwise surface current inside Daya Bay and a north-eastward current along the eastern Guangdong coast, where the coastal current along the eastern Guangdong coast is faster than that inside Daya Bay. The surface currents in the investigated region follow an irregular semidiurnal cycle due to the influence of the tidal current, while the currents inside Daya Bay are strongly affected by the topography. According to the harmonic analysis, an irregular semidiurnal type of tidal current is evident at a study grid inside Daya Bay, with an Eulerian residual current speed of 9.0 cm/s and a direction of 276°. The Lagrangian residual current outside Daya Bay moves north-eastward with a mean speed of 22 cm/s along the eastern Guangdong coast, while the current inside Daya Bay moves northward to the bay head with a mean speed of about 8.0 cm/s, which agrees well with the one reported in other literatures.

This study introduces a type of self-developed, GPS-based, simple and cheap Surface Current Experiment (SUCE) drifters designated for observing surface coastal currents. By examining trajectories of six drifters deployed in the Daya Bay and the drifter-derived velocities, we conclude that such drifters are generally capable of capturing the characteristics of wintertime surface coastal currents along the Guangdong coast.

Inclusion of cloud processes is essential for precipitation prediction with a numerical weather prediction model. However, convective parameterization contains numerous parameters whose values are in large uncertainties. In particular, it is still not clear how the parameters of a sub-grid-scale convection scheme can be modified to improve high-resolution precipitation prediction. To address these issues, a micro-genetic (micro-GA) algorithm is coupled to the Kain-Fritsch (KF) convective parameterization scheme (CPS) in the WRF to improve the quantitative precipitation forecast (QPF). The optimization focuses on two parameters in the KF scheme: the convective time scale and the conversion rate. The optimizing process is controlled by the micro-GA using a QPF skill score as the fitness function. Two heavy rainfall events related to typhoons that made landfall over the south-east coastal region of China are selected, and for each case the parameter values are adjusted to achieve the best QPF skill. Significant improvements in QPF are evident with an increase in the average equitable threat score (ETS) by 5.8% for the first case, and by 18.4% for the second case. The results demonstrate that the micro-GAKF coupling system is effective in optimizing the parameter values, which affect the applicability of CPS in a high-resolution model, and therefore improves the rainfall prediction in both ETS and spatial distribution.

Chimeric antigen receptor (CAR) T cells are engineered cells used in cancer therapy and are studied to treat infectious diseases. Trafficking and persistence of CAR T cells is an important requirement for efficacy to target cancer. Here, we describe a CAR RNA FISH histo-cytometry platform combined with a random reaction seed image analysis algorithm to quantitate spatial distribution and in vivo functional activity of a CAR T cell population at a single cell resolution for preclinical models. In situ, CAR T cell exhibited a heterogenous effector gene expression and this was related to the distance from tumor cells, allowing a quantitative assessment of the potential in vivo effectiveness. The platform offers the potential to study immune functions of genetically engineered cells in situ with their target cells in tissues with high statistical power and thus, can serve as an important tool for preclinical assessment of CAR T cell effectiveness.

Due to the gradual improvement of computing power and the development of big data, the error rate of voice recognition systems and voice assistance functions gradually decreases with the gradual application of deep learning. In terms of commercial contracts, it is a legally binding text. This article first analyzes the theory of functional equivalence translation and then analyzes the theory of functional equivalence translation from the perspective of professionalism and accuracy and determines the principles of business contract English vocabulary translation. At the same time, it studies English in terms of vocabulary equivalence. In the process of teaching trade English, some common vocabulary in trade English is easy to be misunderstood. This article analyzes these common translation errors and their main causes and proposes some appropriate solutions. Business English vocabulary translation must follow the principle of pragmatic equivalence, and the translation must be flexible to deal with communication obstacles caused by cultural background, language habits, and other factors, because they are subject to two different language and cultural characteristic rules (English and Chinese). The seasonal autoregressive summed moving average (ARIMA) model is used to simulate the time series of the surface water temperature in the coastal waters, and the structure of the model is determined through the principle of irrelevance and simplicity. On this basis, the optimal ARIMA prediction model is established and the surface water temperature of the coastal waters is monthly. The prediction results are consistent with the monthly change trend of the sea surface temperature, indicating that the model is suitable for predicting the offshore surface temperature.

Microglia dynamically survey the brain parenchyma. Microglial processes interact with neuronal elements; however, what role neuronal network activity plays in regulating microglial dynamics is not entirely clear. Most studies of microglial dynamics use either slice preparations or in vivo imaging in anesthetized mice. Here we demonstrate that microglia in awake mice have a relatively reduced process area and surveillance territory and that reduced neuronal activity under general anesthesia increases microglial process velocity, extension and territory surveillance. Similarly, reductions in local neuronal activity through sensory deprivation or optogenetic inhibition increase microglial process surveillance. Using pharmacological and chemogenetic approaches, we demonstrate that reduced norepinephrine signaling is necessary for these increases in microglial process surveillance. These findings indicate that under basal physiological conditions, noradrenergic tone in awake mice suppresses microglial process surveillance. Our results emphasize the importance of awake imaging for studying microglia-neuron interactions and demonstrate how neuronal activity influences microglial process dynamics.

Fine particulate matter (PM2.5) decreased by 30–40% across China during 2013–2017 in response to the governmental Clean Air Action. However, surface ozone pollution worsened over the same period. Model simulations have suggested that the increase in ozone could be driven by the decrease in PM2.5, because PM2.5 scavenges hydroperoxy (HO2) and NOx radicals that would otherwise produce ozone. Here we show observational evidence for this effect with 2013–2018 summer data of hourly ozone and PM2.5 concentrations from 106 sites in the North China Plain. The observations show suppression of ozone pollution at high PM2.5 concentrations, consistent with a model simulation in which PM2.5 scavenging of HO2 and NOx depresses ozone concentrations by 25 ppb relative to PM2.5-free conditions. PM2.5 chemistry makes ozone pollution less sensitive to NOx emission controls, emphasizing the need for controlling emissions of volatile organic compounds (VOCs), which so far have not decreased in China. The new 2018–2020 Clean Air Action plan calls for a 10% decrease in VOC emissions that should begin to reverse the long-term ozone increase even as PM2.5 continues to decrease. Aggressive reduction of NOx and aromatic VOC emissions should be particularly effective for decreasing both PM2.5 and ozone. Observations confirm that cleaning up fine particulate matter in the North China Plain has exacerbated ozone pollution, suggesting that both NOx and VOC emissions need to be reduced to improve air quality.