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To compare the distribution regularity of the pressure-sensitive acupoints in patients with chronic non-atrophic gastritis (CNAG) and healthy subjects, so as to provide suitable acupoint combinations for clinical treatment.A total of 120 volunteer subjects including 60 CNAG patients (29 men and 31 women, (40.7±10.3) years at the average age) and 60 healthy subjects (28 men and 32 women, and (40.8±10.2) years at the average age) were enrolled in the present study. The pressure-sensitive acupoints were checked by a fixed operator using his finger pulp along the body trunk and the four limbs and marked on a prepared human dermatome graph. The number of pressing sensitive acupoints were counted, and the relationship between the distribution of the detected sensitive acupoints and the position of meridians and nerve segments was analyzed.The incidence of pressure-sensitive acupoint in CNAG patients and healthy subjects were 86.7% and 15.0%, respectively. In 60 CNAG patients, the most frequently met sensitive acupoints were Xuehai (SP10), Zhongwan (CV13), and Zhongting (CV17) in sequence, mainly covering the Conception Vessel, Spleen Meridian of Foot-Taiyin (SP), and the Stomach Meridian of Foot-Yangming (ST). The sensitive acupoints presented a nerve-segmental distribution within T7-T10 and L3-L5.The pressure-sensitive acupoints present a nerve-segmental distribution and have a higher corresponding rate with some meridians related to the stomach, especially under diseased conditions.

With the rapid growth of big data and network information, it is particularly important to perform information query and intelligent analysis on unstructured massive data in large-scale complex systems. The existing methods of directly collating, sorting, summarizing, and storing retrieval of documents cannot meet the needs of information management and rapid retrieval of massive data. This paper takes the standardized storage, effective extraction and standardized database construction of massive resume information in social large-scale complex systems as an example, and proposes a massive information query and intelligent analysis method. The method utilizes the semi-structured features of the resume document, constructs the extraction rule model of various resume data to extract the massive resume information. On the basis of HBase distributed storage, with the help of parallel computing technology to optimize the storage and query efficiency, which ensures the intelligent analysis and retrieval of massive resume information. The experimental results show that this method not only greatly improves the extraction accuracy and recall rate of resume information data, but also compared with the traditional methods, there are obvious improvements in the three aspects of massive information retrieval methods, query usage efficiency, and the intelligent analysis of complex systems.

For the lack of the precise measurement of the pressure value of die-cutting machine pressure detection, micro-capsule and image sensing technology are applied to the pressure testing precision of die-cutting machine in this article which puts forward two kinds of die-cutting pressure testing methods and the related tests, obtaining the die-cutting machine pressure profile. In view of the data obtained from tests, the article proposes two kinds of pressure processing methods based on micro-capsule and image sensor, considering the factors to obtain appropriate data processing method, using two methods of die-cutting pressure test to calculate the accurate numbers of die-cutting pressure, and the error range is obtained. This paper provides a new method for the pressure test of die cutting machine, and provides a new method for data processing of pressure test based on micro-encapsulation and image sensor technology.

To explore the diagnostic value of immunofixation electrophoresis and Kappa/Lambda (KAP/LAM) ratio in multiple myeloma patients with renal injury.The serum of 822 patients of renal disease were collected for the examnation of immunofixation electrophoresis, KAP/LAM ratio, serum immunoglobulin levels and renal function, including serum urea nitrogen (BUN), serum creatinine (Crea), cystatin C (Cys-C) and estimated glomerular filtration rate (eGFR). To analyze the diagnostic value of immunofixation and KAP/LAM ratio in the differentiation of renal injury of multiple myeloma from primary renal injury diseases.M protein was observed in 75 patients (9.1%). The ratio of each type was IgG 49.3%(37/75), IgA 34.7%(26/75), IgM 5.3%(4/75) and LAM 10.7%(8/75). There was significant difference of KAP/LAM ratio between M protein group and non-M protein group. The KAP/LAM ratio was significant higher in KAP group, compared to non-M protein group. Reverse result was obtained in LAM group. There were higher Crea level and lower eGFR value in pure LAM light chain group, compared with IgG, IgA and IgM groups.Immunofixation electrophoresis and KAP/LAM ratio may play an important role in the diagnosis of multiple myeloma patients with renal injury, so could be early screening markers.

One new structure of Semi-step Walking Wheel Modeled on Impeller is constructed based on Vehicle-Terramechanics. Based on Passive earth pressure of soil mechanics put forward by C.A.Coulomb, the front force formula of the vane of Semi-step Walking Wheel modeled on Impeller is reduced and the wheel traction force when a set of vanes insert the earth is derived. Some Kinematics Simulations are conducted for installing Lunar rover model with ADAMS software. The simulation results show that the wheel can travel smoothly on straight road, climb over bump obstacles. Also, the ability of the lunar rover one-side surmounting obstacle is better than the ability of two-sides. The walking wheel inherits high ride comfort of traditional wheel and excellent cross obstacle ability of walking wheel.

The patterns, components, and controls of soil respiration in an old-growth subtropical forest were investigated using an automatic chamber system. We measured soil respiration in three treatments (control, trenching, litter removal) over 15 months. The annual total soil respiration (1248 gC m-2 yr-1) showed considerable spatial variation (coefficient of variation=27.8%) within the forest. Thirty samples were required to obtain results within 10% of the mean value at a 95% confidential level. A distinctive cosine-like diel pattern of soil respiration was observed; the time lag between gross primary production and soil respiration at this scale was calculated to be 4-5 h. Seasonality of soil respiration was strong (similar to 1 mu mol m-2 s-1 near the end of winter; similar to 6 mu mol m-2 s-1 in midsummer). No time lag was discerned between gross primary production and soil respiration at the seasonal scale. Soil temperature at 5 cm below surface can explain most (>91%) of the observed annual variation in soil respiration. The apparent respiration temperature sensitivity index (Q10) was 3.05. The lowest Q10 value was observed in winter, when soil moisture was low. Soil respiration was overestimated by a Q10 function during both dry and wet periods. The relative contributions of soil organic matter (RSOM), litterfall decomposition (RL), and root respiration (RR) to total soil respiration are 65.25%, 18.73%, and 16.01%, respectively; the temperature sensitivity of these components differ: RL (Q10=7.22)>RSOM (2.73)>RR (1.65). This relationship between Q10 values for litter respiration, soil organic matter decomposition, and root respiration still holds after minimizing the confounding effect of moisture. A relatively constant substrate supply and/or thermal acclimation could account for the observed low-temperature sensitivity in root respiration. Given the high carbon stocks and fluxes, the old-growth subtropical forests of China seem important in the global carbon budget and climate change.

To improve the effectiveness of pedestrian tracking, the histograms of oriented gradients (HOG) and color histogram characteristics are adopted to track pedestrian based on particle filter. Firstly, the pedestrian is detected using the HOG features to determine the initial target position. Then the target is tracked based on particle filter utilizing color histogram, during which the HOG is used to modify particle heavy weights and particle sampling. Experimental results verify the accurateness and efficiency of the proposed method.

OBJECTIVE Many studies have examined the relationships between body composition and bone mineral density (BMD), but little attention has been given to how these relationships vary by age and sex. The aim of this study was to investigate the distributions of lean mass (LM), fat mass (FM), and BMD and the correlation between body composition and BMD in Chinese men and women of different ages. METHODS In total, the body compositions of 1,475 men and 1,534 women aged 20 to 96 years were analyzed. Using dual-energy x-ray absorptiometry, we measured the BMD of the spine, femur, and total body and the LM, FM, and percentage of body fat (Fat %). The population was divided into groups based on age and sex: young, premenopausal, and postmenopausal women and young, middle-aged, and older men. The correlations between BMD and variables of body composition were investigated using the Pearson correlation test and multiple regression analysis. RESULTS The peak BMD values of the spine, femur, and total body are observed in women aged 30 to 39, 20 to 29, and 30 to 39 years, respectively, and in men aged 20 to 29 years at all sites. The peak LM, FM, and Fat % values were observed at age 40 to 49, 60 to 69, and 70 to 79 years in women, respectively, and at 40 to 49, 70 to 79, and 70 to 79 years in men, respectively. A statistically significant correlation was observed between LM and BMD of all sites (r = 0.253-0.591, P < 0.01) in all groups. However, FM was significantly correlated to BMD only in postmenopausal women and older men (r = 0.089-0.336, P < 0.01). Fat % negatively correlated to BMD in young people (r = -0.169 to -0.366, P < 0.05). When stepwise regression models were analyzed, LM remained the strongest predictor of total body, spine, and femur BMD (standardized coefficients = 0.264-0.637, P < 0.001) in Chinese men and women of different ages. CONCLUSIONS We believe that LM is the strongest predictor of BMD at all ages for Chinese men and women, even though positive correlations between FM and BMD existed in old people.

It is important to detect the vehicle rear axle on-line during production process. To realize the quality detection of the rear axle, vibration diagnosis method is adopted to analyze the vibration characteristics of the rear axle and calculate characteristic frequency. The on-line detection control system of vehicle rear axle quality is designed by extracting characteristic parameters of correctly reflecting rear axle running state and applying PLC system. The system has been operated stably, reliably and efficiently through the test. It has a practical significance.

Slip-sinkage is one of the main factors influencing the driving safety of planetary rover in soft terrain. In the environment of scarce features, based on the stereo visual sensors, the visual odometry algorithm is firstly developed to calculate the position changes of planetary rover with six degrees of freedom, which combine with the wheel speed sensor achieve the estimation of wheel slip ratios. Then, on the basis of mechanical analysis of soft terrain, choosing the slip ratio as the state variable, the coordinated driving control algorithm is designed. Simulation and experiment results demonstrate the effectiveness of the proposed control algorithm.

In the field of robot vision, edge feature based stereo matching algorithm can reconstruct the targets with clear contours, which needs accurate and continuous target edges been extracted. In the paper, the smoothing filter operator was designed based on the discrete criteria of edge extraction and its correspondence optimal linear filter. Edge extraction was carried out incorporated the nonmaximum suppression and two thresholds techniques. The discrete criteria based multi-scale edge extraction method was studied with full use of the multi-scale character of the edge information. The detected multi-scale edges were synthesized to obtain the accurate and continuous single pixel wide edge. Then an edge feature based stereo matching algorithm was proposed to obtain 3D information of target. The experimental results demonstrate that the method can effectively suppress disturbance in outdoor environment and reconstruct target contour clearly.

OBJECTIVES: Frequent outbreaks of dengue are considered to be associated with an increased risk for endemicity of the disease. The occurrence of a large number of indigenous dengue cases in consecutive years indicates the possibility of a changing dengue epidemic pattern in Guangdong, China. METHODS: To have a clear understanding of the current dengue epidemic, a retrospective study of epidemiological profile, serological response, and virological features of dengue infections from 2005-2011 was conducted. Case data were collected from the National Notifiable Infectious Diseases Reporting Network. Serum samples were collected and prepared for serological verification and etiological confirmation. Incidence, temporal and spatial distribution, and the clinical manifestation of dengue infections were analyzed. Pearson's Chi-Square test was used to compare incidences between different age groups. A seroprevalence survey was implemented in local healthy inhabitants to obtain the overall positive rate for the specific immunoglobulin (Ig) G antibody against dengue virus (DENV). RESULTS: The overall annual incidence rate was 1.87/100000. A significant difference was found in age-specific incidence (Pearson's Chi-Square value 498.008, P

Cold acclimation improves freezing tolerance in plants. In higher plants, many advances have been made toward identifying the signaling and regulatory pathways that direct the low-temperature stress response; however, similar insights have not yet been gained for simple nonvascular plants, such as bryophytes. To elucidate the pathways that regulate cold acclimation in bryophytes, we used two PCR-based differential screening techniques, cDNA amplified fragment length polymorphism (cDNA-AFLP) and suppression subtractive hybridization (SSH), to isolate 510 ESTs that are differentially expressed during cold acclimation in Physcomitrella patens. We used realtime RT-PCR to further analyze expression of 29 of these transcripts during cold acclimation. Our results show that cold acclimation in the bryophyte Physcomitrella patens is not only largely similar to higher plants but also displays distinct differences, suggests significant alteration during the evolution of land plants.