People's Liberation Army Air Force

Flexible wearable sweat sensors allow continuous, real-time, noninvasive detection of sweat analytes, provide insight into human physiology at the molecular level, and have received significant attention for their promising applications in personalized health monitoring. Electrochemical sensors are the best choice for wearable sweat sensors due to their high performance, low cost, miniaturization, and wide applicability. Recent developments in soft microfluidics, multiplexed biosensing, energy harvesting devices, and materials have advanced the compatibility of wearable electrochemical sweat-sensing platforms. In this review, we summarize the potential of sweat for medical detection and methods for sweat stimulation and collection. This paper provides an overview of the components of wearable sweat sensors and recent developments in materials and power supply technologies and highlights some typical sensing platforms for different types of analytes. Finally, the paper ends with a discussion of the challenges and a view of the prospective development of this exciting field.

BACKGROUND: The traditional anti-inflammation disease-modifying anti-rheumatic drugs (DMARDs) have limited therapeutic effects in rheumatoid arthritis (RA) patients. We previously reported the safety and efficacy of umbilical cord mesenchymal stem cell (UC-MSC) treatment in RA patients that were observed for up to 8 months after UC-MSC infusion. The aim of this study is to assess the long-term efficacy and safety of UC-MSC along with DMARDs for the treatment of RA. METHODS: cells/20 mL) via intravenous injection immediately after the infusion of 100 mL saline. The serological markers tests were used to assess safety and the 28-joint disease activity score (DAS28) and the Health Assessment Questionnaire (HAQ) to assess efficacy. RESULTS: 1 year and 3 years after UC-MSC cells treatment, the blood routine, liver and kidney function and immunoglobulin examination showed no abnormalities, which were all in the normal range. The ESR, CRP, RF of 1 year and 3 years after treatment and anti-CCP of 3 years after treatment were detected to be lower than that of pretreatment, which showed significant change (P < 0.05). Health index (HAQ) and joint function index (DAS28) decreased 1 year and 3 years after treatment than before treatment (P < 0.05). CONCLUSION: UC-MSC cells plus DMARDs therapy can be a safe, effective and feasible therapeutic option for RA patients.

Genome-wide association studies (GWASs) have reproducibly associated ∼40 susceptibility loci with psoriasis. However, the missing heritability is evident and the contributions of coding variants have not yet been systematically evaluated. Here, we present a large-scale whole-exome array analysis for psoriasis consisting of 42,760 individuals. We discover 16 SNPs within 15 new genes/loci associated with psoriasis, including C1orf141, ZNF683, TMC6, AIM2, IL1RL1, CASR, SON, ZFYVE16, MTHFR, CCDC129, ZNF143, AP5B1, SYNE2, IFNGR2 and 3q26.2-q27 (P<5.00 × 10(-08)). In addition, we also replicate four known susceptibility loci TNIP1, NFKBIA, IL12B and LCE3D-LCE3E. These susceptibility variants identified in the current study collectively account for 1.9% of the psoriasis heritability. The variant within AIM2 is predicted to impact protein structure. Our findings increase the number of genetic risk factors for psoriasis and highlight new and plausible biological pathways in psoriasis.

Insulin resistance (IR) plays a crucial role in the development of hypertension, so early recognition of IR is of substantial clinical importance for the management of hypertension. But traditional IR indexes are invasive, complex, and impractical. We aimed to evaluate the associations between three simple IR indexes and hypertension in different body mass index (BMI) categories. A total of 142 005 adults who did not take antihypertensive medication were included in this analysis. The ratio of triglycerides to high-density lipoprotein cholesterol (TG/HDLc), the product of fasting triglycerides and glucose (TyG), and metabolic score for IR (METS-IR) were calculated according to the corresponding formulas. The associations between them and hypertension were analyzed by logistic regression. Among the three indicators, only METS-IR had positive correlations with blood pressure levels (all P < 0.001). After full adjustment, METS-IR was significantly associated with hypertension in the normal BMI group but not in the elevated BMI group. The OR for hypertension in the normal BMI group in the highest quartile of METS-IR was 2.884 (95% CI: 2.468-3.369) in the total sample, 1.915 (95% CI: 1.614-2.271) in females and 2.083 (95% CI: 1.717-2.527) in males. Our findings indicate that METS-IR, a simple and cost-effective IR index, was strongly associated with hypertension in normal-weight Chinese subjects. It could help monitor and manage hypertension in normal-weight individuals.

Human mobility prediction is of great importance in a wide range of modern applications in different fields such as personalized recommendation systems, the fifth-generation (5G) mobile communication systems, and so on. Generally, the prediction goal varies from different application scenarios. For the applications of 5G network including resource allocation and mobility management, it is essential to predict the positions of mobile users in the near future from dozens of seconds to a few minutes so as to make preparation in advance, which is actually a trajectory prediction problem. In this paper, with the particular focus on multi-user multi-step trajectory prediction, we first design a basic deep learning-based prediction framework, where the long short-term memory (LSTM) network is directly applied as the most critical component to learn user-specific mobility pattern from the user's historical trajectories and predict his/her movement trends in the future. Motivated by the related findings after testifying and analyzing this basic framework on a model-based dataset, we extend it to a region-oriented prediction scheme and propose a multi-user multi-step trajectory prediction framework by further incorporating the sequence-to-sequence (Seq2Seq) learning. The experimental results on a realistic dataset demonstrate that the proposed framework has significant improvements on generalization ability and reduces error-accumulation effect for multi-step prediction.

Synthetic aperture radar (SAR) ship detection is an important research topic in the field of maritime applications. The geometrical perturbation-polarimetric notch filter (GP-PNF) was recently proposed to be a promising tool and its usefulness in exploiting polarimetric SAR information for ship detection was demonstrated. The work in this paper is devoted to developing a statistical model of the filter in nonhomogeneous sea clutter to achieve constant false alarm rate (CFAR) detection based on the model. First, within the framework of a multiplicative model, the reciprocal of the gamma distribution is used to describe the texture component of sea clutter in nonhomogeneous background. As a result, a statistical model of the GP-PNF is analytically derived and found suitable for sea clutter scenes with a wide range of homogeneity. Second, we theoretically demonstrate that CFAR detection using GP-PNF is unrelated to the parameter in the original GP-PNF. Therefore, a simplified version of the GP-PNF is given. Third, the CFAR threshold of the simplified filter is mathematically derived. Experiments performed on measured L-band ALOS-PALSAR and C-band RADARSAT-2 SAR data verify the good performance of the developed statistical model and demonstrate the usefulness of the CFAR detection based on the simplified filter.

// Dong Ke 1, 2, 3 , Hanwei Li 2 , Yi Zhang 2, 3 , Yinghong An 4 , Hanjiang Fu 2 , Xuedong Fang 1, 3 , Xiaofei Zheng 2 1 General Surgery, The Second Hospital of Jilin University, Changchun, 130041, China 2 Beijing Key Laboratory for Radiobiology, Beijing institute of Radiation Medicine, Beijing, 100850, China 3 Gastrointestinal Colorectal and Anal Surgery, The China-Japan Union Hospital of Jilin University, Changchun, 130033, China 4 Clinical Laboratory Center, Chinese PLA Air Force General Hospital, Beijing, 100142, China Correspondence to: Hanjiang Fu, email: Fuhj75@126.com Xuedong Fang, email: fangxuedong@medmail.com.cn Xiaofei Zheng, email: xfzheng100@126.com Keywords: gastric cancer, long noncoding RNA, plasma, biomarker, RNA fragments Received: November 30, 2016&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Accepted: February 14, 2017&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Published: February 22, 2017 ABSTRACT Background: Suitable diagnostic markers for cancers are urgently required in clinical practice. Long non-coding RNAs, which have been reported in many cancer types, are a potential new class of biomarkers for tumor diagnosis. Results: Five lncRNAs, including AK001058, INHBA-AS1, MIR4435-2HG, UCA1 and CEBPA-AS1 were validated to be increased in gastric cancer tissues. Furthermore, we found that plasma level of these five lncRNAs were significantly higher in gastric cancer patients compared with normal controls. By receiver operating characteristic analysis, we found that the combination of plasma lncRNAs with the area under the curve up to 0.921, including AK001058, INHBA-AS1, MIR4435-2HG, and CEBPA-AS1, is a better indicator of gastric cancer than their individual levels or other lncRNA combinations. Simultaneously, we found that the expression levels of a series of MIR4435-2HG fragments are different in gastric cancer plasma samples, but most of them higher than that in healthy control plasma samples. Materials and Methods: LncRNA gene expression profiles were analyzed in two pairs of human gastric cancer and adjacent non-tumor tissues by microarray analysis. Nine gastric cancer-associated lncRNAs were selected and assessed by quantitative real-time polymerase chain reaction in gastric tissues, and 5 of them were further analyzed in gastric cancer patients&rsquo; plasma. Conclusions: Our results demonstrate that certain lncRNAs, such as AK001058, INHBA-AS1, MIR4435-2HG, and CEBPA-AS1, are enriched in human gastric cancer tissues and significantly elevated in the plasma of patients with gastric cancer. These findings indicate that the combination of these four lncRNAs might be used as diagnostic or prognostic markers for gastric cancer patients.

The hallmark of mechanosensory hair cells is the stereocilia, where mechanical stimuli are converted into electrical signals. These delicate stereocilia are susceptible to acoustic trauma and ototoxic drugs. While hair cells in lower vertebrates and the mammalian vestibular system can spontaneously regenerate lost stereocilia, mammalian cochlear hair cells no longer retain this capability. We explored the possibility of regenerating stereocilia in the noise-deafened guinea pig cochlea by cochlear inoculation of a viral vector carrying Atoh1, a gene critical for hair cell differentiation. Exposure to simulated gunfire resulted in a 60-70 dB hearing loss and extensive damage and loss of stereocilia bundles of both inner and outer hair cells along the entire cochlear length. However, most injured hair cells remained in the organ of Corti for up to 10 days after the trauma. A viral vector carrying an EGFP-labeled Atoh1 gene was inoculated into the cochlea through the round window on the seventh day after noise exposure. Auditory brainstem response measured one month after inoculation showed that hearing thresholds were substantially improved. Scanning electron microscopy revealed that the damaged/lost stereocilia bundles were repaired or regenerated after Atoh1 treatment, suggesting that Atoh1 was able to induce repair/regeneration of the damaged or lost stereocilia. Therefore, our studies revealed a new role of Atoh1 as a gene critical for promoting repair/regeneration of stereocilia and maintaining injured hair cells in the adult mammal cochlea. Atoh1-based gene therapy, therefore, has the potential to treat noise-induced hearing loss if the treatment is carried out before hair cells die.

For normal-weight population, the management of prehypertension may be more beneficial by identifying insulin resistance (IR) status than relying solely on traditional indicators of obesity. We investigated the association of triglyceride glucose (TyG) index, a simple surrogate marker of IR, and its combination of obesity indices with prehypertension in lean individuals. A total of 105 070 lean adults without hypertension were included in this analysis. Body mass index (BMI), waist circumference (WC), waist-to-height ratio (WtHR), and TyG were calculated according to the corresponding formula; TyG-BMI, TyG-WC, and TyG-WHtR were calculated by multiplying the corresponding two parameters. Gardner-Altman plots, partial correlation, and logistic regression analyses were applied to explore the associations in continuous variables and quartiles. The prehypertensive ones had higher mean values of TyG, TyG-BMI, TyG-WC, and TyG-WHtR than normotensive individuals. All the four indicators showed positive correlations with systolic blood pressure and diastolic blood pressure. After full adjustment, only TyG-BMI and TyG-WC were significantly associated with prehypertension in both genders. Furthermore, TyG-BMI had the highest OR for prehypertension. Our study showed that TyG-BMI might be an accessible and complementary monitor in the hierarchical management of non-obese prehypertensive patients.

BACKGROUND: There is no highly effective chemotherapy for malignant gliomas to date. We found that dimethylaminomicheliolide (DMAMCL), a selective inhibitor of acute myeloid leukemia (AML) stem/progenitor cells, inhibited the growth of glioma cells. METHODS: The distribution of DMAMCL in brain was analyzed by an ultraperformance liquid chromatography-mass spectrometry (UPLC-MS/MS) system. The anti-tumor evaluations of DMAMCL in vitro were performed by MTT, FACS and RT-PCR. In vivo, the mixture of C6 cells and matrigel was injected into caudatum, and the anti-tumor activity of DMAMCL was evaluated by tumor growth and rat survival. The toxicity of DMAMCL was evaluated by body weight, daily food intake, hematological or serum biochemical analyses, and histological appearance of tissues. RESULTS: The IC50 values of DMAMCL against the C6 and U-87MG cell lines in vitro were 27.18 ± 1.89 μM and 20.58 ± 1.61 μM, respectively. DAMMCL down-regulated the anti-apoptosis gene Bcl-2 and increased apoptosis in C6 and U-87MG cells in a dose-dependent manner. In a C6 rat tumor model, daily administration of DMAMCL for 21 days reduced the burden of C6 tumors by 60% to 88% compared to controls, and more than doubled the mean lifespan of tumor-bearing rats. Distribution analysis showed that the DMAMCL concentration was higher in the brain than in plasma. Evaluations for toxicity revealed that oral administration of DMAMCL at 200 or 300 mg/kg once a day for 21 days did not result in toxicity. CONCLUSIONS: These results suggest that DMAMCL is highly promising for the treatment of glioma.

Obstacle avoidance path planning capability, as one of the key capabilities of UAV (Unmanned Aerial Vehicle) to achieve safe autonomous flight, has always been a hot research topic in UAV research filed. As a commonly used obstacle avoidance path planning algorithm, RRT (Rapid‐exploration Random Tree) algorithm can carry out obstacle avoidance path planning in real time and online. In addition, it can obtain the asymptotically optimal obstacle avoidance path on the premise of ensuring the completeness of probability. However, it has some problems, such as high randomness, slow convergence speed, long transit time, and curved flight trajectory, so that it cannot meet the flight conditions of the actual UAV. To solve these problems, the paper proposes an improved RRT algorithm. In the process of extending the random tree, ACO (ant colony optimization) is introduced to make the planning path asymptotically optimal. The optimized algorithm can set pheromones on the path obtained by RRT and select the next extension point according to the pheromone concentration. And then through a certain number of iterations, it converges to an ideal path scheme. In addition, this paper also uses MATLAB to verify the effectiveness and superiority of the algorithm: Although RRT is easy to fall into local optimization, since the optimization method in this paper can almost certainly converge to the optimal solution, when it is necessary to preplan the path before UAV takeoff, it can be used.

Abstract Impaired osteoblast function is involved in osteoporosis, and microRNA (miRNA) dysregulation may cause abnormal osteoblast osteogenic activity. However, the influence of miRNA on osteoblast activity and the underlying mechanisms remain elusive. In this study, miR‐103‐3p was found to be negatively correlated with bone formation in bone specimens from elderly women with fractures and ovariectomized (OVX) mice. Additionally, miR‐103‐3p directly targeted Mettl14 to inhibit osteoblast activity, and METTL14‐dependent N 6 ‐methyladenosine (m 6 A) methylation inhibited miR‐103‐3p processing by the microprocessor protein DGCR8 and promoted osteoblast activity. Moreover, miR‐103‐3p inhibited bone formation in vivo, and therapeutic inhibition of miR‐103‐3p counteracted the decreased bone formation in OVX mice. Further, METTL14 was negatively correlated with miR‐103‐3p but positively correlated with bone formation in bone specimens from elderly women with fractures and OVX mice. Collectively, our results highlight the critical roles of the miR‐103‐3p/METTL14/m 6 A signaling axis in osteoblast activity, identifying this axis as a potential target for ameliorating osteoporosis.

Design of a coplanar waveguide (CPW)-fed rhombus slot antenna for dual-band operation is proposed. With appropriate rhombic ring feeding structure and rectangular bulge components for impedance matching, the proposed antenna can provide two separate impedance bandwidths of 607 MHz (about 24.7% centered at 2.45 GHz) and 1451 MHz (about 26.3% centered at 5.5 GHz), which satisfies the WLAN operation in the 2.45-GHz band (about 3.4% bandwidth required) and 5.2/5.8-GHz bands (about 13% bandwidth required). Details of the constructed prototypes and experimental results are discussed.

Pattern synthesis is a significant research focus in smart antennas due to its extensive use in several radar and communication systems. To improve the optimization performance of pattern synthesis of uniform and sparse linear antenna array, this paper presents an optimization method for solving the antenna array synthesis problem using the Mayfly Algorithm (MA). MA is a new heuristic algorithm inspired by the flight behavior as well as the mating process of mayflies, it has a unique velocity update system with great convergence. In this work, the MA was applied to linear antenna arrays (LAA) for optimal pattern synthesis in the following ways: by optimizing the antenna current amplitudes while maintaining uniform spacing and by optimizing the antenna positions while assuming a uniform excitation. Constraints of inter-element spacing and aperture length are imposed in the synthesis of sparse LAA. Sidelobe level (SLL) suppression with the placement of nulls in the specified directions is also implemented. The results gotten from this novel algorithm are validated by benchmarking with results obtained using other intelligent algorithms. In the synthesis of uniform 20-element LAA with nulls, MA achieved an SLL of -31.27 dB and the deepest null of -101.60 dB. Also, for sparse 20-element LAA, an SLL of -18.85 dB was attained alongside the deepest null of -87.37 dB. MA obtained an SLL of -35.73 dB and -23.68 dB for the synthesis of uniform and sparse 32-element LAA respectively. Finally, electromagnetism simulations are conducted using ANSYS Electromagnetics (HFSS) software, to evaluate the performance of MA for the beam pattern optimizations, taking into consideration the mutual coupling effects. The results prove that optimization of LAA using MA provides considerable enhancements in peak SLL suppression, null control, and convergence rate with respect to the uniform array and the synthesis obtained from other existing optimization techniques.

in C2C12 skeletal muscle cells. ME-induced activation of energy metabolism in skeletal muscle might up-regulate mitochondrial biogenesis and function, thereby protecting against oxidative stress-induced damage. We concluded that the effects of Maca played a crucial role in the regulation of exercise-induced fatigue in mouse muscle, which could be expected to serve as a functional food supplement for improving exercise performance and alleviating physical fatigue.

Exact analytic solutions of finite parabolic quantum wells are derived for both the unperturbed and the electric-field-applied cases. Several normalized parameters are defined so as to make our results universal within the scope of the envelope function approximation with a constant effective mass assumed. The Stark resonance position and the width in the electric-field-applied case can be obtained simultaneously from the complex eigenvalue ${\mathit{E}}_{0}$-i\ensuremath{\Gamma}/2 of the system. By comparing the results calculated, respectively, by employing the exact solutions and the infinite-parabolic-well approximation, the validity of the approximation is rigorously examined. It is shown that the infinite-parabolic-well approximation is valid only under certain conditions as discussed in the text.

BACKGROUND: The raw annual mortality rate reported in Chinese patients on maintenance hemodialysis (MHD) was around 10% between 2005 to 2010, and it was around 20% in the US as reported by the United States Renal Data System (USRDS). Our hypothesis was that the large survival difference was caused by differences in race and practice pattern between nations in addition to differences in patient characteristics. METHODS: Annual mortality in Beijing prevalent MHD patients per year in 2007, 2008, 2009 and 2010 was reported and relative risks of death were compared with the corresponding mortality of USRDS prevalent MHD patients (in whites, African-Americans and Asian-Americans) after age, gender and primary cause of end-stage renal disease (ESRD) were adjusted. A total of 11 675 MHD patients from 104 dialysis facilities under control of Beijing Blood Purification Quality Control and Improvement Center (BJBPQCIC) from 31 December 2006 to 31 December 2010 were included. A total of 1 937 819 MHD patients (only white, African-American and Asian-American were eligible for inclusion) were subtracted from the USRDS No-60-Day prevalent dataset from the year 2004 to 2009, using the RenDER system. Raw annual mortality for each race was reported as a number per 1000 MHD patients at risk for each year. Age, gender and primary cause of ESRD, adjusted annual mortality and relative risk race of death were reported comparing the Beijing patients and each race of the USRDS. RESULTS: The raw annual mortality for the Beijing cohort increased gradually from 47.8 per 1000 patient-years in 2007 to 76.8 in 2010. The raw annual mortality for the white cohort in 2007 was 250.7 per 1000 patient-years, and gradually decreased to 236.3 in 2009. The raw annual mortality for African-Americans (167.8 and 156.7 per 1000 patient-years in 2007 and 2009, respectively) was much lower than that for whites. The annual mortality for Asian-Americans was slightly lower than that for African-Americans. After adjustment, Beijing MHD still had a survival benefit compared with each of the examined USRDS race. The annual mortality rates were 99.4, 80.6 and 94.3 per 1000 patient-years when adjusted to whites, African-Americans and Asian-Americans, respectively, in cohort 2009. CONCLUSIONS: The annual mortality for the Beijing MHD patients was lower than that for their USRDS counterparts, and this difference existed after baseline demographics were adjusted. This survival difference between the Beijing and the USRDS MHD cohorts could be attributed to differences in race or practice pattern. More studies are needed to validate our hypothesis.

BACKGROUND: Aedes albopictus is a major vector for several tropical infectious diseases. Characterization of Ae. albopictus development under natural conditions is crucial for monitoring vector population expansion, dengue virus transmission, and disease outbreak preparedness. METHODS: This study employed mosquito traits as a proxy to understanding life-table traits in mosquitoes using a semi-field study. Ae. albopictus larval and adult life-table experiments were conducted using microcosms under semi-field conditions in Guangzhou. Stage-specific development times and survivorship rates were determined and compared under semi-field conditions in different seasons from early summer (June) to winter (January), to determine the lower temperature limit for larval development and adult survivorship and reproductivity. RESULTS: The average egg- hatching rate was 60.1%, with the highest recorded in October (77.1%; mid-autumn). The larval development time was on average 13.2 days (range, 8.5-24.1 days), with the shortest time observed in September(8.7 days; early autumn) and longest in November (22.8 days). The pupation rates of Ae. albopictus larvae were on average 88.9% (range, 81.6-93.4%); they were stable from June to September but decreased from October to November. The adult emergence rates were on average 82.5% (range, 76.8-87.9%) and decreased from July to November. The median survival time of Ae. albopictus adults was on average 7.4 (range, 4.5-9.8), with the shortest time recorded in September. The average lifetime egg mass under semi-field conditions was 37.84 eggs/female. The larvae could develop into adults at temperatures as low as 12.3°C, and the adults could survive for 30.0 days at 16.3°C and still produce eggs. Overall, correlation analysis found that mean temperature and relative humidity were variables significantly affecting larval development and adult survivorship. CONCLUSION: Ae. albopictus larvae could develop and emerge and the adults could survive and produce eggs in early winter in Guangzhou. The major impact of changes in ambient temperature, relative humidity, and light intensity was on the egg hatching rates, adult survival time, and egg mass production, rather than on pupation or adult emergence rates.

Deep learning models have shown great potential in remote sensing image processing and analysis. Nevertheless, there are insufficient labeled samples to train deep networks, which seriously affects the performance of these models. To resolve this contradiction, we propose a generative self-supervised feature learning (S2FL) architecture for multimodal remote sensing image land cover classification. Specifically, multiple complementary observed views are constructed from multimodal remote sensing images, which are employed for following generative self-supervised learning. The proposed S2FL architecture is capable of extracting high-level meaningful feature representations from multiview data, and this process does not require any labeled information, providing a feasible solution to relieve the urgent need for annotated samples. The learned features are normalized and merged with corresponding spectral information to further improve the discriminative capability of feature representations, and we utilize these fused features for land cover classification. Compared with existing supervised, semi-supervised, and self-supervised approaches, the proposed generative self-supervised model achieves superior performance in terms of feature learning and land cover classification, especially in the small sample classification case.

This paper considers the problem of the multiple traveling salesperson problem (MTSP) with multiple depots and closed path. We analyzed the advantages and disadvantages of Partheno-Genetic algorithm (PGA) in solving the MTSP. By integrating the reproduction mechanism in the invasive weed algorithm (IWO), we have solved the defect that the local information of individuals in the PGA population may be missing, and obtained the improved Partheno-Genetic algorithm with reproduction mechanism (RIPGA), which greatly improves the solution performance. By comparing the RIPGA with other GAs and other intelligent algorithms on a large number of traveling salesperson problem (TSP) test functions, we have well verified the solution performance of the RIPGA on the optimal solution, indicating that the algorithm can effectively avoid local convergence. At the same time, the algorithm is less affected by parameters and has good stability.