Search

With the large-scale grid connection of wind and photovoltaic power, the contradiction between renewable energy and thermal power is becoming more and more serious. To solve this problem, this paper comprehensively considers the construction and operation costs of power plants, and constructs an optimal generation expansion planning model of a combined thermal–wind–photovoltaic​ power system with the objective of minimizing total cost. The planning is calculated under the boundary conditions of ensuring the safe operation of the power grid and taking into account the share requirement, utilization requirements and construction requirements for renewable energy. The model is applied to the self-use and supporting power plants in Xinjiang. The results show that the proposed generation expansion plan can realize the coordinated development of three types of power sources under multiple boundary conditions, which has good applicability.

This study aimed to evaluate predictors for adverse cardiovascular outcomes in patients with atrial fibrillation (AF) undergoing coronary stenting.We retrospectively recruited consecutive patients with previously documented non-valvular AF who underwent coronary stenting between January 2010 and June 2015 in 12 hospitals of Beijing, China. Major adverse cardiac/cerebrovascular events (MACCE) were a composite of all-cause death, non-fatal myocardial infarction, repeat revascularization, and ischaemic stroke/systemic thromboembolism (IS/STE). Major bleeding referred to grade 2 or higher of Bleeding Academic Research Consortium criteria.A total of 2394 patients (men: 72.3%Chinese patients with AF and coronary stenting had high mortality and incidence of MACCE. We compiled separate predictive models for all-cause death, IS/STE, MACCE, and major bleeding.

Ultra-short-term photovoltaic (PV) power forecasting can support the real-time dispatching of the power grid. However, PV power has great fluctuations due to various meteorological factors, which increase energy prices and cause difficulties in managing the grid. This article proposes an ultra-short-term PV power forecasting model based on the optimal frequency-domain decomposition and deep learning. First, the optimal frequency demarcation points for decomposition components are obtained through frequency-domain analysis. Then, the PV power is decomposed into the low-frequency and high-frequency components, which supports the rationality of decomposition results and solves the problem that the current decomposition model only uses the direct decomposition method and the decomposition components are not physical. Then, a convolutional neural network (CNN) is used to forecast the low-frequency and high-frequency components, and the final forecasting result is obtained by addition reconstruction. Based on the actual PV data in heavy rain days, the mean absolute percentage error (MAPE) of the proposed forecasting model is decreased by 52.97%, 64.07%, and 31.21%, compared with discrete wavelet transform, variational mode decomposition, and direct prediction models. In addition, compared with recurrent neural network and long–short-term memory model, the MAPE of the CNN forecasting model is decreased by 23.64% and 46.22%, and the training efficiency of the CNN forecasting model is improved by 85.63% and 87.68%. The results fully show that the proposed model in this article can improve both forecasting accuracy and time efficiency significantly.

Purpose To investigate the dose‐effect of Auto Flash Margin (AFM) on breast cancer's superficial tissues based on the Treatment Planning System (TPS) in the breast‐conserving radiotherapy plan. Methods A total of 16 breast‐conserving patients with early stage breast cancer were selected, using the X‐ray Voxel Monte Carlo (XVMC) algorithm. Then, every included case plan was designed using a 2 cm‐AFM (the value of AFM is 2 cm) and N‐AFM (without AFM). Under the condition of ensuring the same configuration of #MU and collimator, the absorbed dose after a simulated inspiratory motion was calculated again using the new plan center, which moved backward to the linac source. The dose difference between the measurement points between AFM and N‐AFM groups was compared. Results In the dose results, PTVV50Gy of the AFM group was superior to that of the N‐AFM group, PTVD2%, PTVDmean, Lung_IpsiV20Gy, Lung_IpsiDmean, and BodyDmax. Also, the dose results of the N‐AFM group were significantly higher than those of the AFM group. However, there was no significant difference between Lung_ContraV5Gy, HeartDmean, and Breast_ContraV10Gy in the two groups. In the collimator alignments at the same angle between groups, the AFM group formed an apparent air region outside the collimator compared with the N‐AFM group. In the XVMC algorithm feature parameter, the AFM group had less #MU, higher QE, and slightly longer optimization time. The #segments of both groups were close to the 240 control points preset by the plan. The validation results of EBT3 film in both groups were more significant than 95%, meeting the clinical plan's application requirements. The difference in film results between groups was mainly reflected in the dose distribution at the near‐source. 4DCT was used to summarize the maximum and minimum inspiratory motion distances of 7.31 ± 0.45 and 3.42 ± 0.91 mm respectively. Conclusions These results suggest that the AFM function application could significantly reduce the possibility of insufficient tumor target caused by inspiratory motion and ensure sufficient tumor target exposure.

Background Venous thromboembolism is a common vascular syndrome presenting as deep vein thrombosis and/or pulmonary embolism. Thrombus has the possibility of migrating into the left circulation via patent foramen ovale in certain extreme circumstances. Thrombus straddling a patent foramen ovale is a direct evidence of this scenario. However, the confirmed cases of thrombus in transit are still rare. Case summary A 32-year-old man suffered from recurrent syncope and intermittent dyspnea for 1 wk. Transthoracic echocardiography confirmed a thrombus straddling the patent foramen ovale, and thrombi were also found in the bilateral pulmonary artery by computed tomography. The man underwent inferior vena cava filter placement and thrombolysis with alteplase. Echocardiography showed the absence of thrombi in both the right atrium and left atrium 2 d after hospitalization. The man was discharged to home on warfarin without any complications 2 wk later. Conclusion Scrutinizing intracardiac thrombi provides measurable value in pulmonary embolism as closure of patent foramen ovale may be considered in certain patients. Early intervention plays a critical role in thrombus straddling a patent foramen ovale. A sedentary lifestyle may predispose young adults to thromboembolism, even if there are no other risk factors.

Network slicing based fog radio access network (F-RAN) has emerged as a promising architecture to support various novel applications in 5G-and-beyond wireless networks. However, the co-existence of multiple network slices in F-RANs may lead to significant performance degradation due to the resource competitions among different network slices. In this paper, the downlink F-RANs with a hotspot slice and an Internet of Things (IoT) slice are considered, in which the user equipments (UEs) of different slices share the same spectrum. A novel joint resource allocation and admission control scheme is developed to maximize the number of UEs in the hotspot slice that can be supported with desired quality-of-service, while satisfying the interference constraint of the UEs in the IoT slice. Specifically, the admission control and beamforming vector optimization are performed in the hotspot slice to maximize the number of admitted UEs, while the joint sub-channel and power allocation is performed in the IoT slice to maximize the capability of the UEs in the IoT slice tolerating the interference from the hotspot slice. Numerical results show that our proposed scheme can effectively boost the number of UEs in the hotspot slice compared to the existing baselines.

The forecast of wind speed is a prerequisite for wind power prediction, which is one of the most effective means of promoting wind power absorption. However, when modeling for wind speed sequences with different fluctuations, most existing researchers ignore the influence of the time scale of wind speed fluctuation period, let alone the low compatibility between training and testing samples that severely limit the training performance of the forecasting model. To improve the accuracy of wind speed and wind power forecasting, an ultra-short-term wind speed forecasting model based on time scale recognition and dynamic adaptive modeling is proposed in this paper. First, a series of wind processes are divided from the historical wind speed sequence according to the natural variation characteristics of wind speed. Second, we divide all the wind processes into two patterns based on their time scale, and an SVC model with input features extracted from meteorological data is built to identify the time scale of the current wind process. Third, for a specifically identified wind process, the complex network algorithm is applied in data screening to select high compatible training samples to train the forecast model dynamically for current input. The simulation indicates that the proposed approach presents higher accuracy than benchmark models using the same forecasting algorithms but without considering the time scale and data screening.

OBJECTIVES The aim of this study was to evaluate the effectiveness and safety of AngioJet rheolytic thrombectomy among patients with high thrombus burden.BACKGROUND Routine manual thrombus aspiration in patients with ST-segment elevation myocardial infarction (STEMI) does not improve clinical outcomes and was associated with an increased rate of stroke. However, the safety of mechanical thrombus aspirationis still unknown.METHODS This was a single-center study involving 621 patients with Thrombolysis In Myocardial Infarction thrombus grade 5. The primary outcome was the composite of major adverse cardiovascular events (MACE)within 12 months. The safety outcome was stroke within 1-year. RESULTS AngioJet rheolytic thrombectomy was performed in 117 patients. After propensity-score matching, there was no significant difference both in the incidence of MACE(11.1% vs 17.9%, hazard ratio, 1.641; 95% confidence interval[CI], 0.822 to 3.277, p=.161) and the incidences of stroke (1.7% vs 2.6%, hazard ratio, 1.522; 95% confidence interval[CI], 0.254 to 9.107, p=.646)between two groups at 1-year follow-up.CONCLUSIONS In patients with Thrombolysis In Myocardial Infarction thrombus grade 5, AngioJet rheolytic thrombectomydid not improve clinical outcomesat 1 year. However, AngioJet rheolytic thrombectomy did not increase the risk of stroke in patients with high thrombus burden.

Ferroelectric field-effect transistors employ a ferroelectric material as a gate insulator, the polarization state of which can be detected using the channel conductance of the device. As a result, the devices are of potential to use in non-volatile memory technology, but suffer from short retention times, which limits their wider application. Here we report a ferroelectric semiconductor field-effect transistor in which a two-dimensional ferroelectric semiconductor, indium selenide ({\alpha}-In2Se3), is used as the channel material in the device. {\alpha}-In2Se3 was chosen due to its appropriate bandgap, room temperature ferroelectricity, ability to maintain ferroelectricity down to a few atomic layers, and potential for large-area growth. A passivation method based on the atomic-layer deposition of aluminum oxide (Al2O3) was developed to protect and enhance the performance of the transistors. With 15-nm-thick hafnium oxide (HfO2) as a scaled gate dielectric, the resulting devices offer high performance with a large memory window, a high on/off ratio of over 108, a maximum on-current of 862 {\mu}A {\mu}m-1, and a low supply voltage., Comment: 44 pages, 16 figures

Background In recent years, the incidence of wasp sting has increased annually in China. Organ damage and high mortality due to mass wasp envenomation remain major challenges. Timely and appropriate medical intervention can improve survival. However, there are currently no normalized tools for early assessment of severity. Methods The clinical data of wasp sting patients hospitalized from 2011 to 2019 were used as a training set. Logistic regression was used to explore major risk factors for the development of a severe case of wasp sting (SC). The Wasp Sting Severity Score (WSS) was determined considering these risk factors to identify SCs and was tested in a validation dataset that was prospectively collected in 2020. Results The data of 1131 wasp sting patients from 2011 to 2019 were included in the training set. Logistic regression analysis showed that tea-colored urine, number of stings, and lactate dehydrogenase and total bilirubin levels were risk factors for developing an SC. The WSS was developed considering these four risk factors, and the total possible WSS was 20 points. The WSS was tested using the validation dataset, comprising the data of 153 patients, in 2020, and we found that a WSS ≥3 points was an important indication for blood purification, with a sensitivity of 71.9%, specificity of 92.6% and an area under the curve of 0.918 (95% confidence interval 0.873–0.962). Among patients with more than 30 stings, mortality in those who underwent plasma exchange (PE) within 24 h after admission was significantly lower than that in those who did not receive PE treatment (14.3% versus 46.9%, P = 0.003). However, continuous venovenous hemofiltration (CVVH) (P = 0.317) and hemoperfusion (HP) (P = 0.869) did not significantly reduce mortality. Conclusions Patients with WSS scores ≥3 should be considered for blood purification as early as possible in addition to routine treatment. In addition, PE is better than CVVH and HP at reducing mortality in patients suffering from severe wasp stings.

Microwave performance of MOSFETs with a tellurene channel is reported for the first time. The measured forward current-gain cutoff frequency and the maximum frequency of oscillation are 1.4 GHz and 3.6 GHz, respectively. Overcoming the challenge for contacting 2D materials, source contact bias is shown to increase the drain current three times and the peak transconductance four times. Additionally, tellurene being stable in air, the MOSFETs are stable for months even without surface passivation. This suggests that tellurene is a viable candidate channel material for thin-film transistors capable of operation at microwave frequencies.

OBJECTIVES To determine the diagnostic and clinical utility of trio-rapid genome sequencing in critically ill infants. DESIGN In this prospective study, samples from critically ill infants were analyzed using both proband-only clinical exome sequencing and trio-rapid genome sequencing (proband and biological parents). The study occurred between April 2019 and December 2019. SETTING Thirteen member hospitals of the China Neonatal Genomes Project spanning 10 provinces were involved. PARTICIPANTS Critically ill infants (n = 202), from birth up until 13 months of life were enrolled based on eligibility criteria (e.g., CNS anomaly, complex congenital heart disease, evidence of metabolic disease, recurrent severe infection, suspected immune deficiency, and multiple malformations). INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS Of the 202 participants, neuromuscular (45%), respiratory (22%), and immunologic/infectious (18%) were the most commonly observed phenotypes. The diagnostic yield of trio-rapid genome sequencing was higher than that of proband-only clinical exome sequencing (36.6% [95% CI, 30.1-43.7%] vs 20.3% [95% CI, 15.1-26.6%], respectively; p = 0.0004), and the average turnaround time for trio-rapid genome sequencing (median: 7 d) was faster than that of proband-only clinical exome sequencing (median: 20 d) (p < 2.2 × 10-16). The metagenomic analysis identified pathogenic or likely pathogenic microbes in six infants with symptoms of sepsis, and these results guided the antibiotic treatment strategy. Sixteen infants (21.6%) experienced a change in clinical management following trio-rapid genome sequencing diagnosis, and 24 infants (32.4%) were referred to a new subspecialist. CONCLUSIONS Trio-rapid genome sequencing provided higher diagnostic yield in a shorter period of time in this cohort of critically ill infants compared with proband-only clinical exome sequencing. Precise and fast molecular diagnosis can alter medical management and positively impact patient outcomes.

With the large-scale wind power integration, this paper presents a time-sharing and multi-objective optimal response strategy of thermal power units to improve the flexibility of units and wind power consumption. Taking 15 minutes as the time scale, this strategy revises the output curve of thermal power units according to ultra-short-time forecasts, conventional constraints of thermal power units, and different optimization objectives. The numerical results indicate that strategy ensures both the largest wind power consumption and the economy of thermal power units.

With the rapid development of information technology, Internet of Things and other technologies, various applications in the Internet space are emerging in an endless stream, triggering an explosive increase in data scale. Intelligent recommendation systems can efficiently filter out massive data sentiment analysis is one of the key technologies of Natural Language Processing (NLP) and intelligent recommendation systems. Finding out the reasons behind certain emotional expressions in texts through information technology has received widespread attention. Based on this, this paper proposes a text-aware recommendation model based on multi-attention neural network model to solve this problem. First, we use a modified LDA and paragraph vector learning framework to obtain the text vector representation, then capture the context information of the text through the Bi-LSTM layer, and finally input the representation into the CNN layer to classify and predict emotional factors. Experimental results show that our proposed method is significantly better than the most advanced baseline method.

Tellurium (Te) is a narrow bandgap semiconductor with a unique chiral crystal structure. The topological nature of electrons in the Te conduction band can be studied by realizing n-type doping using atomic layer deposition (ALD) technique on two-dimensional (2D) Te film. In this work, we fabricated and measured the double-gated n-type Te Hall-bar devices, which can operate as two separate or coupled electron layers controlled by the top gate and back gate. Profound Shubnikov-de Haas (SdH) oscillations are observed in both top and bottom electron layers. Landau level hybridization between two layers, compound and charge-transferable bilayer quantum Hall states at filling factor 4, 6, and 8 are analyzed. Our work opens the door for the study of Weyl physics in coupled bilayer systems of 2D materials., Comment: Submitted to Nano Letters

To improve the accuracy of data matching in software knowledge base operation and maintenance, a data optimization method based on cloud computing is proposed. In order to achieve the goal of accurate detection, the steps of anomaly detection of software knowledge base operation and maintenance data are improved, and the optimization of software knowledge base operation and maintenance data is completed. Finally, the experiment proves that the matching accuracy of the software knowledge base operation and maintenance data optimization method based on cloud computing is significantly improved compared with the traditional operation and maintenance method.

ObjectThe current study was performed to construct a model with microRNA (miRNA/miR) expression profile and TNM staging system for prognosis predicting in patients with lung adenocarcinoma (LUAD). MethodsDifferentially expressed miRNAs were identified from miRNA data of LUAD in The Cancer Genome Atlas (TCGA) database. Potential prognostic miRNAs and TNM classification parameters, screened out by Cox proportional hazards regression analysis, were included in the prognostic model. The prognostic model was visualized with a nomogram, and tested by calculating the C-index and drawing the calibration curve in the training set and validating set, respectively. Finally, the prognostic miRNAs were analyzed with bioinformatics tools. ResultsA total of 194 differentially expressed miRNAs were identified between LUAD tissues and matched normal tissues, including 99 up-regulated and 95 down-regulated miRNAs. miRNA index (miR.index), constructed with nine miRNAs (hsa-let-7i, hsa-mir-1976, hsa-mir-199a-1, hsa-mir-31, hsa-mir-3940, hsa-mir-450a-2, hsa-mir-4677, hsa-mir-548v and hsa-mir-6803), was an independent prognostic indicator for the survival of patients with LUAD. Bioinformatics analysis suggests that the selected miRNAs are involved in the development and progress of LUAD. ConclusionThe prognostic model constructed with nine miRNA expression profile and TNM classification parameters can predict the survival in patients with LUAD, and the predictive power of the model are warranted for further validations.

Background To investigate the impact of exome sequencing in critically ill infants and find out high-risk patients with genetic diseases for the 180-day mortality rate. Results A molecular diagnosis rate achieved in 203 of 439 (46.2%) sequenced infants. 60 of 203 (29.5%) diagnosed patients died before 180 days of life. Compared to the undiagnosed-cases, patients with genetic findings in metabolic-endocrine disorders (OR=2.89, 95% CI: 1.51-5.52), primary immunodeficiencies (OR=3.79, 95% CI: 1.25-11.53), and early-onset muscle disease (OR=6.49, 95% CI: 2.28-18.48) had high odds ratios of 180-day mortality. Based on the functions of the defective genes, infants with catalytic activity deficiency (OR=3.07, 95% CI: 1.51-6.25) and transporter activity deficiency (OR=4.15, 95% CI: 1.80-9.56) also had a high risk of 180-day mortality. Furthermore, the proportion of medical management correspondence to genetic findings increased from 22.4% to 40.3% (p=0.06), and the 180-day mortality rate decreased from 35.9% to 29.6% showing a moderate decreased trend (p trend =0.08) over 4 years.Conclusions Our study shows that patients with genetic findings in metabolic-endocrine disorders, primary immunodeficiencies and early-onset muscle disease are related to 180-day mortality, which are of great significance for improve the prognosis.

To identify next-generation-sequencing (NGS) clinical usability and to propose a standard diagnostic routine for critically ill infants, aged less than 100 days and suspected of having a genetically heterogeneous condition, a retrospective study was conducted between January 2016 and December 2018 at neonatal intensive care units (NICUs) of three tertiary hospitals in Shanghai, China. Whole-exome sequencing (WES) or panel sequencing was performed on 307 patients. Trio-WES, trio-panel, proband-WES, and proband-panel diagnostic yields were 39.71% (83/209), 68.75% (22/32), 59.09% (26/44), and 33.33% (4/12), respectively. Definitive molecular diagnoses of 142 infants (46.25%) uncovered 99 disorders; 21 disorders displayed on 44.37% of the diagnosed patients. Genetic etiologies were identified for 61.73% (50/81) of the deceased infants. One in three (29.58%) diagnosed infants exhibited one of the following four clinical traits which had a higher odds of diagnostic rate: integument abnormality (adjusted odds ratio [aOR], 19.7; 95% confidence interval [CI], 2.5–156.3), complex immune-related phenotypes (aOR, 9.2; 95% CI, 1.4–83.5), mixed nervous system phenotypes and congenital anomalies (aOR, 5.0; 95% CI, 1.3–19.1), or mixed metabolism and nervous system phenotypes (aOR, 4.5; 95% CI, 1.0–21.5). Our results demonstrated that NGS was an effective diagnostic tool. Infants exhibiting integument, complex immune-related conditions, metabolism, and nervous signs have higher chances of carrying variants in known disease-causing genes. The number of specific phenotypes could be used as an independent predictor of a positive molecular diagnosis, rather than an isolated abnormality. We developed a molecular diagnostic procedure for the use of NGS for diagnosis in Chinese NICU population based on individual characteristics.

Abnormal road surface detection is important for road maintenance management and traffic safety. However, how to detect the abnormal road surface effectively is still a challenging work. Internet of things (IoT) technology can help people repair the abnormal road surface by providing efficient, low-cost technical solutions, ensure the safety and comfort of vehicle travel. In this study, we propose an abnormal road detection method based on smart phone acceleration sensor, and use k-means algorithm to cluster the detected abnormal road surface. The experimental results show that our method can effectively detect the abnormal road surface.

Acipimox, a niacin derivative, is a lipid-lowering drug that is widely used to treat hyperthyroidism. It is generally well tolerated and causes fewer adverse effects than niacin. Acipimox has been reported to induce mild adverse effects, mainly pruritus and flushing. Concerning hepatotoxicity induced by acipimox, only limited information is available regarding the symptoms and therapeutic schedule. In this study, we report the case of a 40-year-old man with hyperlipidemia who developed liver injury after treatment with acipimox. After treatment discontinuation, his liver function gradually improved. After obtaining negative results in tests for hepatitis, infectious mononucleosis, and rheumatologic diseases, in addition to ultrasonographic findings, acipimox administration was resumed, and his liver enzyme levels again remarkably increased. In the absence of any biliary obstruction or other obvious causes of hepatic injury, acipimox-induced hepatocellular injury was strongly suspected in accordance with the Roussel-Uclaf Causality Assessment Method. Acipimox was again discontinued, and magnesium isoglycyrrhizinate was introduced. The patient's liver function tests gradually improved over 3 days and displayed marked improvement after 1 week. On the basis of the recorded findings, drug-induced liver injury was highly suspected, and rechallenge and the exclusion of other obvious factors were required to establish the diagnosis of acipimox-induced hepatic injury. Furthermore, the importance of evaluating hepatotoxicity using the Roussel-Uclaf Causality Assessment Method and the effectiveness of magnesium isoglycyrrhizinate for treating liver cell injury were demonstrated.

With the rapid development of digital technology, from the application of traditional databases and scientific computing to the emerging cloud computing services, the analysis, and processing of massive data has become the focus of society. Providing low-cost, scalable, and configurable shared cloud services to users on cloud service platforms is a new hotspot for the development of major cloud service providers. Job scheduling plays an important role in improving the overall system performance of cloud service capabilities. Simple job scheduling strategies (such as Fair and FIFO scheduling) do not consider job size and may degrade performance when jobs of different sizes arrive. This paper proposes the MQWAG (Multi-Queue Load-Sensitive Greedy Scheduling Algorithm) job scheduling algorithm to reorder multi-queue jobs so that short jobs are executed preferentially in multiple queues. In our experiments, our algorithm shortened the average job completion time by about 26% compared with other algorithms.

Accurate wind power prediction can not only effectively improve wind power consumption capacity, but also improve the stability and economy of power grid operation. However, due to the fluctuation and randomness of wind speed, it is very difficult to predict accurately wind power at present. In addition, each single algorithm model has its own inherent limitations. Therefore, none of the above algorithms can always maintain the best prediction effect in different months. For the above reasons, it is very difficult for the wind farm to choose the optimal prediction model under different prediction scenarios. Finally, for the problem that a single algorithm can’t adapt to the forecasting scenarios of different months in the whole year, a time-section fusion pattern classification based ultra-short-term wind power forecasting model is proposed, which includes multiple forecasting models based on different machine learning theories, fusion mode classification model, and fusion model corresponding to each fusion mode. Firstly, different machine learning models such as artificial neural network (ANN), support vector machine (SVM), long and short-term memory neural network (LSTM) and autoregressive integrated moving average (ARIMA) are used to predict wind power with a single model. Secondly, the model of fusion pattern classification and recognition is trained and applied to fusion pattern recognition in different time periods. Finally, the final forecasting results are obtained by using the fusion model corresponding to the data fusion model. The simulation results of real data show that compared with the standard ANN model, SVM model, LSTM model and ARIMA model, the time-section fusion based ultra-short-term wind power ensemble forecasting model proposed in this paper has higher accuracy.

Developing van der Waals (vdW) homojunction devices requires materials with narrow bandgaps and simultaneously high hole and electron mobilities for bipolar transport, as well as methods to image and study spatial variations in carrier type and associated conductivity with nanometer spatial resolution. Here we demonstrate the general capability of near-field scanning microwave microscopy (SMM) to image and study the local carrier type and associated conductivity in operando by studying ambiploar field effect transistors (FETs) of the 1D vdW material tellurium in 2D form. To quantitatively understand electronic variations across the device, we produce nanometer resolved maps of the local carrier equivalence backgate voltage. We show that the global device conductivity minimum determined from transport measurements does not arise from uniform carrier neutrality, but rather from the continued coexistence of p-type regions at the device edge and n-type regions in the interior of our micron-scale devices. This work both underscores and addresses the need to image and understand spatial variations in the electronic properties of nanoscale devices., Comment: 15 pages, 4 figures

The combination of mixed-dimensional semiconducting materials can provide additional freedom to construct integrated nanoscale electronic and optoelectronic devices with diverse functionalities. In this work, we report a high-performance dual-channel phototransistor based on one-dimensional (1D)/two-dimensional (2D) trigonal selenium (t-Se)/ReS2 heterostructures grown by chemical vapor deposition. The injection and separation efficiency of photogenerated electron–hole pairs can be greatly improved due to the high-quality interfacial contact between t-Se nanobelts and ReS2 films. Compared with bare ReS2 film devices, the dual-channel phototransistor based on t-Se/ReS2 heterostructure exhibits considerable enhancement with the responsivity (R) and detectivity (D*) up to 98 A·W–1 and 6 × 1010 Jones at 400 nm illumination with an intensity of 1.7 mW·cm−2, respectively. Besides, the response time can also be reduced by three times of magnitude to less than 50 ms due to the type-II band alignment at the interface. This study opens up a promising avenue for high-performance photodetectors by constructing mixed-dimensional heterostructures.

Background To analyze the cardio-protective effects of ticagrelor in patients with acute coronary syndrome with S-T segment elevation. Methods The sample was 200 patients who had been diagnosed with acute coronary syndrome accompanied by diabetes Mellitus type II. Only patients having ST segment elevation before the treatment were included. Then, the subjects were further randomly divided into an observation group and a control group. The control group of 100 patients received clopidogrel; the observation group of 100 patients of ticagrelor. The serous creatine kinase CK-MB, functional cardiac indexes of left ventricular end diastolic diameter (LVDD), cardiac troponin I, ventricular ejection fraction, and relevant major adverse cardiovascular events (MACE) were compared between the two groups. Results One month after a percutaneous coronary intervention (PCI) the observation group showed better results against angina, stent thrombosis, and all-cause mortality compared with those of the control subjects. Six months after treatment, both groups suffered adverse reactions. The number of patients who suffered adverse reactions in respiratory tract in the observation group was higher than in the control group. The inhibition of platelet aggregation IPA of ticagrelor was found to be significantly higher than clopidogrel, having a significant p value. Conclusion Ticagrelor can effectively protect myocardial function for patients with ST-segment elevation acute coronary syndrome accompanied by diabetes and can reduce the incidence of adverse reactions..

Flexible bronchoscopy (FB), developed in the 1960s, is widely used in the clinical practice of pediatrics and has demonstrated fundamental value in clinical diagnoses and treatment. However, as an invasive procedure, the use of FB is limited due to concerns regarding the tolerance of the procedure and the possible complications in neonatal units. Thus, the present study aimed to investigate the clinical safety and efficacy of flexible bronchoscopy (FB) in a neonatal intensive care unit (NICU). Neonates (n=54) who received FB in the NICU of Shanghai Children's Hospital between January 2012 and December 2016 were enrolled as the experimental group and another 54 neonates who required nebulization and tracheal secretion suction treatments were the control group. Indicators including blood gas, complete blood count, C-reactive protein (CRP), X-ray, patient breathing rate, temperature and blood pressure were monitored prior to and following the procedure. No significant differences in sex, gestational age, birth weight or postnatal age were observed between the experimental group and the control group (P>0.05). Among the 54 FB patients, several cases with side effect were identified, including 18 (33.3%) with respiratory tract stenosis, nine (16.7%) with malacia and stenosis and six (11.1%) with esophagotracheal fistula. Among the 54 members of the control group, 44 neonates (81.4%) were discharged with improved condition, five (9.3%) succumbed and five patients (9.3%) abandoned the treatment and left the hospital. Bronchoalveolar lavage demonstrated consistent results with respiratory secretion culture or tracheal tube culture. In comparison between the experimental and the control groups, no significant difference in pH, partial pressure of carbon dioxide (PCO(2)), partial pressure of oxygen (PO(2)) and HCO(3)(-) was observed, while there were no statistical differences in the values of pH, PCO(2) and HCO(3)(-) (P>0.05). However, PO(2) was significantly increased, and CRP was significantly reduced, following FB procedure compared with prior to FB (P

Background Sepsis is the leading cause of acute kidney injury (AKI) in the neonatal intensive care unit (NICU). The aim of the study is to explore the efficacy and security of continuous renal replacement therapy (CRRT) in the treatment of neonatal sepsis-related AKI. Method Totally12 sepsis-related AKI neonates treated with CRRT were hospitalized in the NICU of Shanghai Children’s Hospital between November 2012 and November 2019, and the clinical data of these 12 cases were retrospectively analyzed. Renal function, acid-base balance, electrolytes, blood pressure and hemodynamics indexes were recorded before CRRT initiation, 12/24/48 h after CRRT initiation and at the end of CRRT respectively. The efficacy of CRRT was evaluated and the clinical outcome was observed in these 12 sepsis-related AKI neonates. Repeated measurement analysis of variance was used for statistical analysis of the data. Result (1) Continuous veno-venous hemodialysis filtration (CVVHDF) was used in 12 cases of sepsis-related AKI neonates. There were 6 cases with oliguria, 3 cases with fluid overload (FO), 3 cases with septic shock. The duration of CRRT was 49 ~ 110 h, average (76.2 ± 23.5) h. (2) The blood pressure (BP) of 12 sepsis -related AKI neonates could reach the normal level (40–60 mmHg) 12 h after CRRT initiation, and the normal BP level could be maintained during the CRRT treatment. After 12 h CRRT, the blood pH value increased to the normal range (7.35 ~ 7.45). After 12 h CRRT treatment, the oxygenation index of 12sepsis-related AKI neonates could reach 200 mmHg. After 24 h CRRT treatment, it could rise to more than 300 mmHg. Serum potassium, serum urea nitrogen and serum creatinine levels decreased significantly 12 h after CRRT initiation, and reached the normal range 24 h after CRRT initiation. The urine volume significantly increased 24 h after CRRT initiation. (3) Venous catheterization was performed successfully in all sepsis-related AKI neonates. We observed 2 cases of thrombocytopenia, 1 case of obstruction and 1 case of hypotension in the course of CRRT. There were no complications such as hypothermia, hemorrhage, thrombosis and infection.11 neonates were cured and discharged. One neonate was treated with CRRT and passed through the oliguria stage of AKI, but died after the parents gave up the treatment. Conclusions It is safe and effective to treat neonatal sepsis-related AKI with CRRT, which should be an effective measure for the treatment of sepsis-related AKI neonates.

A two-dimensional numerical approach has been proposed in this article to help with the simulation and visualization of dynamic de-icing process, thereby facilitating a better understanding of the pertinent physical phenomena involved in the ice melting process for cold-climate wind turbines. In this method, Reynolds-averaged Navier-Stokes equations and Shear Stress Transport k-ω turbulence model are adopted to calculate the outer fluid velocity field, and a two-step apparent heat capacity method has been employed to simulate the inner phase change. Corresponding field de-icing experiments on a 2 kW wind turbine have been performed at a natural icing station to provide essential parameters and subsequent validation for the simulation. The results show that the simulations are in good consistence with experiments. The relative errors between predicted actuation durations and measured ones are in acceptable range. Through comprehensive analysis of both numerical and experimental results, the wind turbine dynamic de-icing process has been explored. It is revealed that the de-icing process of wind turbine blades is mainly consisted of four distinct periods, i.e. sharp and short temperature-rising period, plateau period, gentle and long temperature-rising period, and fluctuation period (if exists). The mechanism of the generation of each stage has also been elucidated.

Wind turbines often suffer from blade icing issues in cold regions, which causes the degradation of the blade aerodynamic performance and the loss of power production. In the paper, a 3D numerical simulation model of the wind turbine rotor is put forward by using a commercial computational fluid dynamics (CFD) solver ANSYS Fluent to estimate the blade aerodynamic performance after icing. The multiple reference frame (MRF) model, Reynold Averaged Navier Stokes (RANS) and k-ω SST turbulence model are used in the simulation. Results show that CFD computational results are in accordance with the experimental results for clean and rime-iced rotors within rated wind speed, and overrated for glaze-iced rotors at high wind speed. As the wind speed increases, the rotor speed and output power of wind turbines decrease more dramatically under icing conditions. Besides, ice shapes mainly affect pressure distribution at the leading edge of airfoils, and thus reduce the normal force and tangential force significantly at approximate 62%–89% radial position. Influenced by ice shapes, blades are more likely to work in stall region at the same wind speed. In addition, flow separation around the iced blade is more serious at larger wind speed, which will produce more momentum and frictional loss, especially for glaze ice. The results provide a valuable reference for the wind farms operation and generator system evaluation in cold regions.

The electronic, optical and magnetic properties of Ce doped ZnO crystal have been studied by using first principles method. The research of formation energies show that Ce doped ZnO is energetically stable, and the formation energies reduce from 6.25% to 12.5% for Ce molar percentage. The energy band is still direct band gap after Ce doped, and band gap increases with the increase of Ce Ce distance. The Fermi level moves upward into conduction band and the DOS moves to lower energy with the increase of Ce concentration, which showing the properties of n-type semiconductor. The calculated optical properties imply that Ce doped causes a red-shift of absorption peaks, and enhances the absorption of the visible light. The transition from ferromagnetic to antiferromagnetic has been found in Ce doped ZnO.

Wide cold regions with high air density as well as wind speed are much beneficial for the wind energy exploitation. However, wind turbines in these regions always suffer a series of icing issues, especially the blade aerodynamics degradation and much production loss in winter. Therefore, the paper aims to study the ice accretion feature on blades and the effect of ice severity on the power performance of wind turbines at natural icing environment. The ice distribution on the blade is analyzed quantitatively in the image processing method, and it is found that the ice thickness on the blade increases rapidly from the root to the middle of the blade, and then slowly from the middle to the blade tip. In the icing duration period, both the pitch angle and rotor speed of the wind turbine fall remarkably at the same wind speed, and the pitch angle shows more sensitive to the blade icing for wind turbines with the traditional control strategy. Based on the statistical operating data of the 300 kW wind turbine in different icing cases, the rotor performance deteriorates more seriously as the ice thickness of the blade increases, which changes the original matching relation between the rotor and generator. In addition, the ice thickness of the leading edge at r/R = 0.95 shows great correlation with power loss in given icing cases, and this correlation still needs to be studied further at more icing events. The results can provide a reference for the operation performance of wind turbines in cold regions.

Cold region wind turbines are highly likely to lose their aerodynamic efficiency and power production due to icing problems. Electro-thermal anti/de-icing systems have been consequently developed to eliminate ice accretion on wind turbine blades. As an important index of cost-efficiency, the threshold de-icing heat flux of these systems always attracts a lot of attention. Unlike most of previous calculation methods, this article proposed a numerical approach to determining the threshold de-icing power density by computing the loose-coupled fluid field and temperature field. Meanwhile, in order to provide essential ice shape and corresponding validation for the model, icing and threshold de-icing experiments on a customized small-scale wind turbine have been conducted. The influences of ambient temperature and wind speed have also been investigated. On-site meteorological data, which were observed by Xuefeng Mount natural icing station, are adopted in the experiments and simulations. Results of this article indicate that the numerical predictions are in good consistence with experimental values. Among all cases, the maximum fractional error is calculated to be 9.3%. The ambient temperature is found to have a great impact on required power density. But the influence of wind speed is believed to have a foreseeable upper limit.

Rationale: Mediastinal non-seminomatous germ cell tumors (MNSGCTs) are rare malignancies. Chemotherapy followed by surgical resection has been regarded as the standard management, but treatment options for chemotherapy-refractory patients or those with unresectable tumors are limited, resulting in a very poor prognosis. Patient concerns: An 18-year-old female presented with symptoms of cough, chest tightness, and shortness of breath for 2 months, and the symptoms gradually worsened. Diagnosis: Computed tomography (CT) revealed a large mediastinal mass invading the pericardium and great blood vessels. Serum human chorionic gonadotropin (HCG) and α-fetoprotein (AFP) levels were normal. Histopathological examination of biopsy specimens revealed mixed MNSGCT with embryonal carcinoma and immature teratoma components. Interventions: The patient achieved complete remission (CR) and long-term survival after multimodal therapy comprising chemotherapy, positron emission tomography/CT (PET/CT)-guided volumetric-modulated arc therapy (VMAT), and anti-angiogenic targeted therapy. Outcomes: The patient was followed up for more than 4 years without recurrence, metastasis, or treatment-related adverse effects. Lessons: The case presented here highlights the importance of multidisciplinary diagnosis and treatment, providing evidence that radiotherapy and anti-angiogenic therapy may play an important role in unresectable or residual tumors after failure of conventional treatments of MNSGCT. Percutaneous biopsy is necessary for diagnosis if the tumor is unresectable, and serum AFP and HCG levels are normal. Additionally, PET/CT is an effective method for evaluation of efficacy and radiotherapy guidance for patients with MNSGCTs.

Black phosphorus (BP) is a recently rediscovered layered two-dimensional (2D) semiconductor with a direct band gap (0.35–2 eV), high hole mobility (300–5000 cm2/Vs), and transport anisotropy. In this paper, we systematically investigated the effects of metal–semiconductor interface/contacts on the performance of BP Schottky barrier transistors. First, a “clean” metal–BP contact is formed with boron nitride (BN) passivation. It is found that the contact resistance of the clean metal–BP contact is seven times less than the previously reported values. As a result, high-performance top-gate BP transistors show a record high ON-state drain current (Ion) of 940 μA/μm. Second, BN tunneling barriers are formed at the source/drain contacts to help understand the abnormally high OFF-state drain current (Ioff) in devices with clean metal–BP contacts. This high Ioff is attributed to the electron tunneling current from the drain to the channel. Finally, the Ion/Ioff of BP field-effect transistors can be significantly improved by using an asymmetric contact structure. By inserting a thin BN tunneling barrier at the drain side, Ioff is reduced by a factor of ∼120 with a cost of 20% reduction in Ion. This case study of contacts on BP reveals the importance of understanding the metal–semiconductor contacts for 2D Schottky barrier transistors in general.

BackgroundThe prevalence of CHD has been well described worldwide except in Tibet. This study aimed to illustrate the prevalence and composition of CHD in Tibetan children according to altitude.Methods and resultsIn the first part, we prospectively recruited 7088 unselected Tibetan children (4–17 years) from south-west Tibet. The total prevalence of CHD increased from 4.6/1000 below 4200 m to 13.4/1000 above 4700 m, with a female-to-male ratio of 1.3:3.1. The total prevalence and female prevalence of patent ductus arteriosus increased more than 10-fold. Females living above 4700 m had exceptionally high prevalence of patent ductus arteriosus (14.9/1000). The prevalence of atrial septal defect was comparable among different altitudes (3.3–3.8/1000). The prevalence of ventricular septal defect was 1.3/1000 below 4700 m, and no cases were found above this altitude. In the second part, we retrospectively reviewed the clinical data of 383 CHD children in Tibet and 73 children at lower altitudes. The percentage of isolated ventricular septal defect decreased from 54.8 to 3.1%, and the percentage of isolated patent ductus arteriosus increased from 8.2 to 68.4% with elevation. Children living below 4200 m (10.4–13.7%) had a larger proportion of complex CHD than those above this altitude (2.0–3.1%). Of the 20 Tibetan children with complex CHD, 14 (70.0%) lived below 4200 m.ConclusionsA wide variation in CHD prevalence and composition existed in Tibetan children among different altitudes.

In order to identify the abnormal road surface condition efficiently and at low cost, a road surface condition recognition method is proposed based on the vibration acceleration generated by a smartphone when the vehicle passes through the abnormal road surface. The improved Gaussian background model is used to extract the features of the abnormal pavement, and the k-nearest neighbor (kNN) algorithm is used to distinguish the abnormal pavement types, including pothole and bump. Comparing with the existing works, the influence of vehicles with different suspension characteristics on the detection threshold is studied in this paper, and an adaptive adjustment mechanism based on vehicle speed is proposed. After comparing the field investigation results with the algorithm recognition results, the accuracy of the proposed algorithm is rigorously evaluated. The test results show that the vehicle vibration acceleration contains the road surface condition information, which can be used to identify the abnormal road conditions. The test result shows that the accuracy of the recognition of the road surface pothole is 96.03%, and the accuracy of the road surface bump is 94.12%. The proposed road surface recognition method can be utilized to replace the special patrol vehicle for timely and low-cost road maintenance.

With the rapid development of digital technology, from the application of traditional databases and scientific computing to the emerging cloud computing services, the analysis and processing of massive data has become the focus of society. Providing low-cost, scalable, and configurable shared cloud services to users on cloud service platforms is a new hotspot for the development of major cloud service providers. Job scheduling plays an important role in improving the overall system performance of cloud service capabilities. Simple job scheduling strategies (such as Fair and FIFO scheduling) do not consider job size and may degrade performance when jobs of different sizes arrive. This paper proposes the MQWAG (Multi-queue Load-Sensitive Greedy Scheduling Algorithm) job scheduling algorithm to reorder multi-queue jobs so that short jobs are executed preferentially in multiple queues. In our experiments, our algorithm shortened the average job completion time by about 26% compared with other algorithms.

A novel ferroelectric semiconductor junction (FSJ) based two-terminal memristor is demonstrated as a synaptic device for the first time. In this novel FSJ device, a metal-ferroelectric semiconductor (FS)-metal crossbar structure is used, instead of a metal-ferroelectric insulator-metal structure for a conventional ferroelectric tunnel junction (FTJ), so that an ultra-thin ferroelectric insulator is not required. Meanwhile, the FSJ also offers energy efficiency advantage over the conventional filament-based resistive random access memory (RRAM) device because the conductance of the FSJ scales with the junction area. Experimentally, a ferroelectric semiconductor α-In 2 Se 3 based crossbar FSJ (c-FSJ) as a synaptic device is demonstrated. Ferroelectric resistive switching is clearly observed in both planar FSJ (p-FSJ) by in-plane polarization switching and c-FSJ by out-of-plane polarization switching. Conductance potentiation and depression in the c-FSJ are measured and benchmarked at both original size and projected to 32 nm node with different synaptic devices. α-In 2 Se 3 c-FSJ shows good on-line learning accuracy (~92 %), low latency and energy consumption due to the short write pulse width and large R ON .

With the increasingly demand for reliable mobile communication service in the high-speed railway (HSR) system, the service stability of HSR communication is of great concern in recent research. Focusing on ensuring the quality of services (QoS) and system throughput, massive multi-input multi-output (massive MIMO) and beamforming technologies have been widely applied. In this paper, aiming to minimize the communication outage probability (OP) and not to decrease spectrum efficiency (SE) too much, we propose a fast HBF (F-HBF) scheme for HSR communications. The proposed scheme uses a low-complexity beam-searching algorithm to trace high-speed trains in real time. The simulation results verify that the proposed scheme can significantly reduce OP without too much SE degradation.

The basic rules for long and medium-term power market(LAMPM) trading clearly require that power dispatch center is responsible for the security check of trading results and ensure its implementation. However, the technical standard for security check in LAMPM has not formed yet. Besides the research is not sufficient about the influence of intermittent new energy such as wind power and photovoltaic on security check, which results in the lack of transparency and accuracy in the process of security check in LAMPM. To this end, a two-layer framework of LAMPM security check based on multi-scenario prediction of new energy is proposed, which is characterized by "long-term unit commitment + typical day economic dispatch". Then the key points including of long-term unit commitment model, typical day economic dispatch model and check judgement criteria are introduced respectively. Finally, a case study based on IEEE-30 buses system is used to prove the validity of the proposed method.

Wind turbines often suffer from severe ice during winter. Ice on the blades changes the airfoil profile, thereby causing wind turbine power loss. The icing characteristics and output of small horizontal-axis wind turbine were experimentally studied in an artificial climate chamber, and a 3D ice accretion wind turbine model was proposed to simulate glaze ice. Results show that ice rapidly reduces the rotation speed and load power of the wind turbine. The ice growth rate rises initially and then declines with time. Ice linearly increases from the root to the tip and mainly accumulates at the leading edge. As the rotation speed slows down, the ice-covered area moves to the pressure side. Higher wind velocity and lower temperature lead to more severe ice, but they do not change the ice shape. The shaft torque of the iced turbine shows a rising trend, and then it falls, thereby decreasing the shaft power and power coefficient. Ice load seems to have a greater effect than the deterioration of aerodynamic characteristics on the rotor performance of small wind turbines.

In response to the issues of second-hand sharing and repeat delegation of the digital content in existing multimedia social networks, this paper proposed a novel formalized delegation model for multimedia social network. In accordance with this model, delegators can independently lay down delegation policies. Further, related delegation constraints and strategies were identified to solve delegation conflicts. When a conflict arises among several delegations, strategies could be used to solve the conflict. This delegation model can control the authorities and are delegated consistently until the authorization expires or is revoked. And also, the paper presented essential security policies that lead to revoking different authorities. A use case of real multimedia social network further verified the efficiency and effectiveness of the proposed model.

This paper describes the characteristics of microalgal strains that originated out of an isolation and screening project included within the National Alliance for Advanced Biofuels and Bioproducts (NAABB). The project's goal was to identify new potential platform strains with high growth rates and/or lipid productivities. To classify the best performing strains, we conducted a combined microscopic and phylogenetic analysis. Among the best performing strains were many coccoid green algae. Several strains belong to the species Acutodesmus (Scenedesmus) obliquus and to the species Chlorella sorokiniana, thus expanding on existing germplasm. Identified at the genus level were some Desmodesmus strains and one Ankistrodesmus strain. Several strains were classified as belonging to the genus Coelastrella, a taxon reported for the first time for North America. Multiple additional strains had ambiguous identities, with some strains possibly representing novel species. Reporting on the above strains, some of which have been tested successfully in outdoor ponds and most of which are deposited at the University of Texas Culture Collection of Algae, is a step forward in expanding the biological resources available for algae biofuel production.

The shed configuration has obvious effects on the flow field characteristics and electric field distributions around composite insulators, and then impacts their icing flashover performance. In this study, the AC flashover comparative tests for 12 types of 220 kV composite insulators with different shed configurations under non-energized and energized ice accumulation conditions are conducted in the artificial climate chamber. The influences of shed configuration on icing flashover voltages and flashover arc paths are analyzed. Results indicate that with the increase of the icing stress, both the flashover arc path and the ratio of the air gap arc gradually decrease. These variations lead the icing flashover voltage to gradually decrease and then approach to saturation. For ice-covered composite insulators with different shed configurations, the ratios of the air gap arc to the total flashover arc are different due to the differences of their shed spacings, icicle lengths, differences of shed diameters, (extra) large shed diameters. These result in the differences of icing flashover voltages and their characteristic exponent c describing the influence of ice thickness. Besides, for insulators iced under energized condition, their icing flashover voltages and flashover arc paths are different from that under non-energized condition. Hence, the energized icing test, which is also the only normative reference of icing test proposed by the IEEE standard, should be carried out to optimize the shed configuration of composite insulators used in ice areas.

Tellurene—the 2D form of elemental tellurium—provides an attractive alternative to conventional 2D semiconductors due to its high bipolar mobilities, facile solution processing, and the possibility of dopant intercalation into its 1D van der Waals lattice. Here, we study the microscopic origin of transport anisotropy in lithographically defined four-terminal tellurene devices using spatially resolved near-field scanning microwave microscopy (SMM). Our conductivity- and carrier type-sensitive SMM imaging reveals that the overall p-type transport measured between adjacent and opposite terminals originates from strong p-type character at the device edges. Despite using an atomic layer deposition-grown conformal overcoat that n-dopes the device interior, we observe only weak n-type transport along the main device channel at positive backgate voltages. This weak n-type transport along the device channel is shown to arise from local p-doping within a few micrometers of the electrodes, which produces a transport barrier from the n-type interior to the electrodes. These results reveal how the backgate-dependent conduction anisotropy could be leveraged to weigh different inputs for non-von Neumann architectures.

It is essential for acute ischemic stroke (AIS) patients to receive timely revascularization. However, intravenous thrombolysis (IVT) is not recommended for AIS patients with warfarin associated hypocoagulability. Meanwhile, monotherapy of coagulation factors or vitamin K is unable to reverse anticoagulation of warfarin in emergency. Thus, developing an effective IVT strategy poses a challenging task for these fragile population. Herein, an 82-year-old male, on regular administration with warfarin because of nonvalvular atrial fibrillation (NVAF), suffered from AIS and had an elevated international normalized ratio value of 1.72 and prolonged prothrombin time of 18.2 s at stroke onset. For normalizing INR, combination of 4 factor prothrombin complex concentrate, fresh frozen plasma and vitamin K1 were administrated. Finally, the patient successfully received recombinant tissue plasminogen activator (rt-PA), with an obviously neurological improvement. This case shows a feasible role of IVT therapy with rt-PA after reversal of coagulation regarding AIS patients with warfarin-related hypocoagulability.

Tellurium (Te) is an intrinsically p-type doped narrow bandgap semiconductor with excellent electrical conductivity and low thermal conductivity. Bulk trigonal Te has been theoretically predicted and experimentally demonstrated to be an outstanding thermoelectric material with high value of thermoelectric figure-of-merit ZT. In view of the recent progress in developing synthesis route of two-dimensional (2D) tellurium thin films as well as the growing trend of exploiting nanostructures as thermoelectric devices, here for the first time we report excellent thermoelectric performance of tellurium nanofilms, with room temperature power factor of 31.7 {\mu}Wcm-1K-2 and ZT value of 0.63. To further enhance the efficiency of harvesting thermoelectric power in nanofilm devices, thermoelectrical current mapping was performed with a laser as a heating source, and we found high work function metals such as palladium can form rare accumulation-type metal-to-semiconductor contacts to 2D Te, which allows thermoelectrically generated carriers to be collected more efficiently. High-performance thermoelectric 2D Te devices have broad applications as energy harvesting devices or nanoscale Peltier coolers in microsystems., Comment: manuscript+SI, 30 pages