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This paper proposes some effective approaches to address the inherent issues of consequent-pole (CP) permanent magnet (PM) machines, such as saturation of the salient rotor core and unipolar PM leakage flux of the end region caused by asymmetric field. The effect of CP Halbach PM array with different magnetization direction and parameters that affect the saturation have been investigated for the CP PM machine with short pole pitch. By employing the CP Halbach array, the saturation issue can be solved and superior performance can be obtained without reducing the PM pole arc. In addition, unequal and multistep staggered rotors with magnetic barriers have been proposed to reduce the unipolar leakage flux in the end region. Compared with regular staggered rotors, not only better electromagnetic performance can be achieved, but also the end unipolar leakage flux can be reduced. Finally, a prototype is manufactured and the predictions have been validated by measurements.

A five-phase fault-tolerant permanent-magnet (FTPM) motor can offer high torque density, low torque ripple, and good fault-tolerance. To improve operational performance under open-circuit fault condition, this article proposes a novel direct torque control (DTC) based on virtual stator flux strategy for an FTPM motor drive. The novelty of the proposed strategy is the development of virtual stator flux, which is used to achieve circular trajectories of current and rotating magneto-motive force vectors, and to derive feedforward voltage. Additionally, optimal fault-tolerant current references get derived based on maximum torque criterion, and then combined with reduced-order orthogonal decomposition matrices deduced from them, the feedforward voltage is used to eliminate asymmetrical motor behavior under the fault condition. Hence, the DTC becomes applicable to the FTPM motor drive under open-circuit fault condition. This control strategy not only enhances the torque performance with smooth torque and high dynamic response but also allows minimal reconfiguration of the control structure from healthy operation to fault-tolerant operation. The simulation and experimental results are given to verify the feasibility of the proposed strategy.

Linear-rotary permanent magnet (PM) actuator is a type of multi degree of freedom actuators, which can be widely applied in many fields such as car driving, drilling process. This paper proposes a novel linear-rotary fault-tolerant consequent-pole (CP) PM actuator for an integrated electromagnetic suspension and steering system. The key of the proposed actuator is the special stator and CP rotor. Combined the alternating arrangement structure of armature teeth and fault-tolerant teeth, two sets of orthogonal fractional-slot concentrated-windings embedded in the adjacent slot of armature teeth are employed to achieve linear and rotary motion and their decoupling control, and enhance fault-tolerant capability. By employing CP and flux-modulation structures, not only the airgap flux density can be enhanced along circumferential direction but also higher torque performance with lower PM consumption can be achieved. The relevant electromagnetic performance is predicted by using the finite-element method.

The vital role of long noncoding RNAs (lncRNAs) on the acute myeloid leukemia (AML) has been increasingly recognized. This study aims to explore the unknown function of lncRNA LINC00152 in the leukemogenesis of AML. LINC00152 is determined to be upregulated in the AML samples, and the overexpression of LINC00152 is also authenticated in the advanced French-American-British (FAB) AML patients and closely correlated with the poor outcome of AML patients. The functional experiments state that knockdown of LINC00152 suppresses the proliferation, accelerates the apoptosis, and induces the cycle arrest of AML cells. The mechanical experiments state that LINC00152 and CDK9 were both targeted by miR-193a with the complementary binding sites at 3'-UTR. Moreover, in the rescue experiments, the enhanced LINC00152 expression could regain the suppression of tumor behavior induced by LINC00152 knockdown. In conclusion, this research reveals the important role of lncRNA LINC00152 in the AML leukemogenesis through targeting miR-193a/CDK9 axis. This finding could indicate the important pathogenesis of ncRNA and the vital roles of epigenetic regulation.

In recent years, permanent magnet vernier (PMV) machines have been attracting more and more attention due to the inherently exhibited advantages such as high torque density and simple mechanical structure. In this paper, a consequent pole (CP) PMV machine with single-layer concentrated winding is proposed. The novelty is that the asymmetric air-gap field distribution is introduced to improve its working harmonics and to reduce the PM consumption. By employing a CP structure, the flux density amplitude can be enhanced. Moreover, due to uneven distribution of modulator poles on the armature teeth and fault tolerant teeth, the number of periods of modulator poles is only half of that of the stator teeth. Then, significant improvement in flux density working harmonics can be achieved. Furthermore, the superior electromagnetic decoupling capability can be achieved by introducing the fault-tolerant teeth. The relevant electromagnetic performance such as flux density, back electromotive forces, cogging torque and on-load torque have been calculated by using finite-element analyses, which have also been validated by experiments.

To compare the efficacy and impact of GEMOX and GDP in the treatment of patients with non-Hodgkin's lymphoma (NHL).A total of 68 patients with NHL admitted to the hospitals of the authors from February 2013 to April 2016 were equally distributed into the GEMOX Group (treated with Gemcitabine and Oxaliplatin) and the GDP Group (treated with Gemcitabine, Cisplatin, and Dexamethasone), with cycle repetition every 3 weeks. The efficacy was analyzed every two weeks. The side effects were analyzed once a week. Comparison of survival was performed using Kaplan-Meier method and log-rank test and Cox univariate and multivariate regression analyses.Efficacy in the two groups was not statistically different (p0.05). The incidence of III-IV grade of nausea and vomiting in the GDP Group was higher than in the GEMOX Group (p0.05). The overall incidence decreased hemoglobin, nausea and vomiting, and renal dysfunction of the GDP Group was also higher than in the GEMOX Group (p0.05). Analysis by multivariate Cox model found that the clinical classification and the grade of malignancy were independent prognostic factors (p0.05). The odds ratio (OR) values of the clinical classification in the GEMOX Group and the GDP Group were 2.874 and 24.074, respectively. The OR values of the grade of malignancy in the GEMOX Group and the GDP Group were 14.034 and 6.873, respectively.Both the GEMOX regimen and the GDP regimen had good short-term efficacy on NHL patients, but the GEMOX regimen is to be preferred since as it had fewer side effects than the GDP regimen.

The classification of medical patents play an important role for pharmaceutical company, since medical patens with well labeled can significantly accelerate the process of new drug research. The previous studies using machine learning methods focus on classification the medical patents with single label. However, the classification of medical patents is a multi-label task, and the available data are always incomplete with losing the part information of patents. In this paper, we propose a deep self-learning classification framework that can deal with the incomplete medical patterns with multi-label issue. It consists of a text processor and patent classifier. For the text processor, a professional medical text thesaurus is built via GloVe method, which can learn more specialized vocabulary. For the patent classifier, we adopt a bidirectional long short term memory (Bi-LSTM) model to construct our patent classifier, which can learn the hidden knowledge from medical patents and associate with appropriate labels to medical patents automatically. Furthermore, an advanced focal loss function is design to further improve the classification accuracy. Experiments on the Thomson Reuters dataset demonstrate that our proposed method outperform the other existing methods in terms of precision and recall, when dealing with incomplete medical patents with multi-label issue. ...

In this paper, a novel stator permanent magnet (PM) vernier fault-tolerant machine with consequent pole (CP) was proposed. The rotor is salient structure without PMs and the PMs are embedded in the armature teeth, which are in favor of heat dissipation. Compared with stator-PM machine with N-S poles, more working harmonics can be introduced in the proposed machine due to the asymmetric PM MMF distribution in CP structure. Furthermore, the flux-modulation effect can be enhanced significantly when adopting CP structure. Hence, the proposed machine with CP can achieve larger torque and lower cost than the machine with N-S poles. In addition, the magnetic and thermal isolation between phases can be achieved by introducing the fault-tolerant teeth. The electromagnetic performance of the machines with N-S poles and CP were simulated and compared by finite-element (FE) analyses. The results demonstrate that the proposed machine has better performance.

With the function of mediating intercellular communication between cells, extracellular vesicles (EVs) have been intently studied for their physiopathology and clinical application values. However, efficient EV isolation from biological fluids remains a significant challenge. To address this, this work constructs a new microvortex chip that can isolate EVs efficiently by integrating the lipid nanoprobe modified Morpho Menelaus (M. Menelaus) butterfly wing into microfluidic chip. M. Menelaus wing is well known for its orderly arranged periodic nanostructures and can generate microvortex when liquid passes through it, leading to increased interaction between EVs and M. Menelaus wing. In addition, the nanoprobe containing lipid tails can be inserted into EVs through their lipid bilayer membrane structure. Based on the described properties, high-throughput enrichment of EVs with over 70% isolation efficiency was realized. Moreover, it was demonstrated that the nanoprobe system based on M. Menelaus wing enabled downstream biological analysis of nucleic acids and proteins in EVs. Microvortex chips showed potential application value in efficient EV isolation for biomedical research and cancer diagnosis.

Using MODIS remote sensing data and ground truth data, a thorough investigation was conducted to monitor the productivity of grasslands in China for the year 2005. The Normalized Difference Vegetation Index (NDVI) was first computed from the MODIS data. Then the data from the NDVI images were used to correlate with the grass yield data from the ground sampling campaigns. Six regional models were accordingly established from the correlation for estimation of grass production in the six main types of steppe in China. The main results from the estimation could be summarized as follows: (1) High grass productivity in 2005 was obtained in the following 3 regions: the grassland covering Hulunbuir, Xilinhaote, and the western Daxing'anling, the region including the eastern Qinghai, the northwestern Sichuan and the mid-southern Gansu, and the northwestern Xinjiang region. (2) Total hay output from the grasslands in China amounted to 294213.86 thousand tons in 2005 with an average yield of 829.67 kg/hm2. (3) The following 7 provinces were the largest grass producers in China: Inner Mongolia, Qinghai, Xinjiang, Sichuan, Tibet, Heilongjiang and Gansu. For example, Inner Mongolia produced 60370.82 thousand tons of hay in 2005, and hence became the No. 1 grass producer of China. (4) Among the steppe types, the following 5 had the largest grass production: Alpine meadow, Temperate steppe, Low-land meadow, Temperate meadow steppe and Montane meadow with total production accounting for 62.2% in China. (5) Grass production of the entire China in August 2005 remained at the same level as that in August 2004. However, the situations of major grassland provinces were different: grass production in both Qinghai and Gansu in 2005 increased to 9.02% and 3.63%, respectively, when compared with that in 2004. The grass production in Inner Mongolia decreased by 3%, while the production in Tibet, Xinjiang and Sichuan remains unchanged when compared with that in 2004. These results were very important for grassland administration, pasture grazing and grassland ecosystem studies in China.

Grassland degradation in grassland ecosystems of China has been highly concerned in recent decades. Grassland growing is an important element for identification of grassland degradation. In this paper we intend to develop an applicable method for grassland growing monitoring in China using the EOS/MODIS data. Firstly the normalized difference of vegetation index (NDVI) can be calculated from April to October within grassland growing period in 2005 and 2006. In order to evaluate the grassland growing, vegetation index R was proposed, which was calculated from the NDVI value difference of the two years 2006 and 2005. According to the R value, five grades (from grade 1 to grade5) were obtained: worse, slightly worse, balance, slightly better and better. Grassland region in China can be divided into a number of small sub-regions for determination of different regions and grassland types. Our results indicate that grassland growing was better in 2006 than in 2005. The grassland with balance, slight better and better growing accounted for 71.43% of the total grassland area, the area is 251.42 thousand KM 2 . The overall growing of 2006 is: Grade3 > Grade4 > Grade2 > Grade5 > Grade 1. Valuation of the grassland growing is thus urgently required for better administration of the grassland ecosystem for sustainable development.