Electronic Beam Steering Metamaterial Antenna with Dual-Tuned Mode of Liquid Crystal Material.

In this study, a dual-tuned mode of liquid crystal (LC) material was proposed and adopted on reconfigurable metamaterial antennas to expand the fixed-frequency beam-steering range. The novel dual-tuned mode of the LC is composed of double LC layers combined with composite right/left-handed (CRLH) transmission line theory. Through a multi-separated metal layer, the double LC layers can be loaded with controllable bias voltage independently. Therefore, the LC material exhibits four extreme states, among which the permittivity of LC can be varied linearly. On the strength of the dual-tuned mode of LC, a CRLH unit cell is elaborately designed on three-layer substrates with balanced dispersion values under arbitrary LC state. Then five CRLH unit cells are cascaded to form an electronically controlled beam-steering CRLH metamaterial antenna on a downlink Ku satellite communication band with dual-tuned characteristics. The simulated results demonstrate that the metamaterial antenna features' continuous electronic beam-steering capacity from broadside to -35° at 14.4 GHz. Furthermore, the beam-steering properties are implemented in a broad frequency band from 13.8 GHz to 17 GHz, with good impedance matching. The proposed dual-tuned mode can make the regulation of LC material more flexible and enlarge the beam-steering range simultaneously.

Screening gene signatures for clinical response subtypes of lung transplantation.

Lung is the most important organ in the human respiratory system, whose normal functions are quite essential for human beings. Under certain pathological conditions, the normal lung functions could no longer be maintained in patients, and lung transplantation is generally applied to ease patients' breathing and prolong their lives. However, several risk factors exist during and after lung transplantation, including bleeding, infection, and transplant rejections. In particular, transplant rejections are difficult to predict or prevent, leading to the most dangerous complications and severe status in patients undergoing lung transplantation. Given that most common monitoring and validation methods for lung transplantation rejections may take quite a long time and have low reproducibility, new technologies and methods are required to improve the efficacy and accuracy of rejection monitoring after lung transplantation. Recently, one previous study set up the gene expression profiles of patients who underwent lung transplantation. However, it did not provide a tool to predict lung transplantation responses. Here, a further deep investigation was conducted on such profiling data. A computational framework, incorporating several machine learning algorithms, such as feature selection methods and classification algorithms, was built to establish an effective prediction model distinguishing patient into different clinical subgroups, corresponding to different rejection responses after lung transplantation. Furthermore, the framework also screened essential genes with functional enrichments and create quantitative rules for the distinction of patients with different rejection responses to lung transplantation. The outcome of this contribution could provide guidelines for clinical treatment of each rejection subtype and contribute to the revealing of complicated rejection mechanisms of lung transplantation.

Identifying luminal and basal mammary cell specific genes and their expression patterns during pregnancy.

Mammary gland is present in all mammals and usually functions in producing milk to feed the young offspring. Mammogenesis refers to the growth and development of mammary gland, which begins at puberty and ends after lactation. Pregnancy is regulated by various cytokines, which further contributes to mammary gland development. Epithelial cells, including basal and luminal cells, are one of the major components of mammary gland cells. The development of basal and luminal cells has been observed to significantly differ at different stages. However, the underlying mechanisms for differences between basal and luminal cells have not been fully studied. To explore the mechanisms underlying the differentiation of mammary progenitors or their offspring into luminal and myoepithelial cells, the single-cell sequencing data on mammary epithelia cells of virgin and pregnant mouse was deeply investigated in this work. We evaluated features by using Monte Carlo feature selection and plotted the incremental feature selection curve with support vector machine or RIPPER to find the optimal gene features and rules that can divide epithelial cells into four clusters with different cell subtypes like basal and luminal cells and different phases like pregnancy and virginity. As representations, the feature genes Cldn7, Gjb6, Sparc, Cldn3, Cited1, Krt17, Spp1, Cldn4, Gjb2 and Cldn19 might play an important role in classifying the epithelial mammary cells. Notably, seven most important rules based on the combination of cell-specific and tissue-specific expressions of feature genes effectively classify the epithelial mammary cells in a quantitative and interpretable manner.

Pharmacological Effects of Novel Peptide Drugs on Allergic Rhinitis at the Small Ribonucleic Acids Level.

Using an allergic rhinitis (AR) model, we evaluated the pharmacological effects of novel peptide drugs (P-ONE and P-TWO) at the small RNA (sRNA) level. Using high-throughput sequencing, we assessed the sRNA expression profile of the negative control, AR antagonist (positive control), P-ONE, and P-TWO groups. By functional clustering and Gene Ontology and KEGG pathway analyses, we found that sRNA target genes have a specific enrichment pattern and may contribute to the effects of the novel peptides. Small RNA sequencing confirmed the biological foundations of novel and traditional AR treatments and suggested unique pharmacological effects. Our findings will facilitate evaluation of the pathogenesis of AR and of the pharmacological mechanisms of novel peptide drugs.

An investigation of the levels of vitamins A, D, and E in the serum of Chinese pregnant women.

BACKGROUND: Vitamins A, D (Vitamin D2 and vitamin D3) and E, play an important role during pregnancy. METHODS: Sera were collected from 1056 normal pregnant women, who were between 18 and 40 years old, at seven different hospitals in northeastern China. The levels of Vitamin A and E in the sera samples were detected using HPLC (High Performance Liquid Chromatography), and the level of vitamin D was measured by LC-MS (Liquid Chromatography-Mass Spectrometry). Data were analyzed using IBM SPSS Statistics 21. RESULTS: The mean levels of vitamin A, D and E in the 1056 sera samples were 0.39 mg/L (0.38-0.39), 20.44 µg/L (19.86-21.08) and 12.96 mg/L (12.70-13.25), respectively. The levels of vitamin A, D, and E deficiency were 17.05%, 0.19%, and 56.44%, respectively. The levels of vitamin A, D, and E of those between age 21 and 31 among the 1056 pregnant women were similar. The correlation of vitamin E and D was significant at the .01 level (two-tailed), and the correlation of vitamin A and age was significant at the .05 level (2-tailed). CONCLUSION: According to our finding, the levels of vitamin A, D, and E in the sera of pregnant women in northeastern China were affected by where they live and their age. Vitamin D deficiency was very serious, vitamin A deficiency was common, while vitamin E seems to be sufficient.

[Impact of canopy structural characteristics on inner air temperature and relative humidity of Koelreuteria paniculata community in summer].

To investigate the diurnal variation of the correlations between the cooling and humidifying effects and canopy structural characteristics of the Koelreuteria paniculata community, the measurements of air temperature, relative humidity, canopy density, leaf area index (LAI) and mean leaf angle (MLA) were performed on calm sunny summer days in the community in Beijing Olympic Forest Park, China. There were significant correlations between the canopy density, LAI and MLA, which affected the cooling and humidifying effects together. The cooling effect reached its maximum by 12:00, whereas the humidifying effect reached its peak at 10:00. Compared with the control open space site, the community appeared to lower the air temperature by 0.43 to 7.53 °C and to increase the relative humidity by 1%-22% during the daytime. However, the cooling and humidifying effects seem to be not effective during the night. The canopy density and LAI were better for determining the cooling and humidifying effects from 9:00 to 12:00. However, these effects were largely controlled only by the canopy density from 12:00 to 14:00 and were significantly correlated with the canopy density and LAI afterwards until 18:00.

hARIP2 is a putative growth-promoting factor involved in human colon tumorigenesis.

Activin is a multifunctional growth and differentiation factor of the growth factor-beta (TGF-ß) superfamily, which inhibits the proliferation of colon cancer cells. It induces phosphorylation of intracellular signaling molecules (Smads) by interacting with its type I and type II receptors. Previous studies showed that human activin receptor-interacting protein 2 (hARIP2) can reduce activin signaling by interacting with activin type II receptors; however, the activity of hARIP2 in colon cancer has yet to be detailed. In vitro, overexpression of hARIP2 reduced activin-induced transcriptional activity and enhanced cell proliferation and colony formation in human colon cancer HCT8 cells and SW620 cells. Also, hARIP2 promoted colon cancer cell apoptosis, suggesting that a vital role in the initial stage of colon carcinogenesis. In vivo, immunohistochemistry revealed that hARIP2 was expressed more frequently and much more intensely in malignant colon tissues than in controls. These results indicate that hARIP2 is involved in human colon tumorigenesis and could be a predictive maker for colon carcinoma aggressiveness.

[Prevention and treatment of aromatase inhibitor-associated bone loss by shugan jiangu recipe in postmenopausal women with breast cancer: a clinical study].

OBJECTIVE: To study the effect of Shugan Jiangu Recipe (SJR) on bone mineral density (BMD) and serum bone metabolic biochemical markers in postmenopausal breast cancer patients with osteopenia. METHODS: Totally 38 patients of postmenopausal women with breast cancer, who received aromatase inhibitors (AIs), were assigned to the treatment group (21 cases) and the control group (17 cases) by using random digit table. All patients took Caltrate D Tablet (containing Ca 600 mg and Vit D3 125 IU), one tablet daily. Patients in the treatment group took SJR, 6 g each time, twice daily for 6 successive months. The bone mineral density (BMD) level was detected before treatment and at months 6 after treatment. Levels of bone alkaline phosphatase (BALP), bone gla protein (BGP), tartrate-resistant acid phosphatase (TRAP), and C-terminal telopeptide of type II collagen (CTX-II) were detected by enzyme linked immunosorbent assay (ELISA). The drug safety was also assessed. RESULTS: Compared with before treatment, BMD of L2-4 and femur neck obviously increased in the treatment group at month 6 after treatment (P < 0.01), serum BALP and TRAP decreased (P < 0.05). Compared with before treatment, BMD of L2-4 and femur neck obviously decreased in the control group at month 6 after treatment (P < 0.05), serum BALP and TRAP increased (P < 0.01). Compared with the control group, lumbar and femur neck BMD obviously increased, serum levels of BGP and BALP obviously decreased, and serum levels of CTX-II and TRAP obviously increased in the treatment group at month 6 after treatment (P < 0.01). No serious adverse event occurred during the treatment period. Bone fracture occurred in one case of the control group (5.8%). CONCLUSION: SJR could attenuate bone loss of postmenopausal women with breast cancer who received AIs, increase BMD and improve abnormal bone metabolism.

Clinical study on long-term overall survival of advanced non-small-cell lung cancer patients treated with Chinese medicine and Western medicine.

OBJECTIVE: To investigate the prognostic influence on long-term overall survival (OS) from treatment with Chinese medicine (CM) and chemotherapy or targeted therapy in advanced non-small-cell lung cancer (NSCLC) patients. METHODS: The clinical data of 206 advanced NSCLC patients who were treated with CM and Western medicine in Beijing Cancer Hospital from April 1999 to July 2013 were retrospectively analyzed. Long-term survivors were defined as OS ≥ 3 years after treatment with CM and chemotherapy. Twenty-eight patients had OS ≥ 3 years, 178 had OS < 3 years, and all clinical data were statistically analyzed with the Cox model. Variables were gender, age, smoking status, performance status (PS) score, pathological type, clinical stage, first-line chemotherapy, targeted therapy, and use of CM. Univariate survival analysis was performed using the Kaplan-Meier method and log-rank sequential inspection. Multivariate survival analysis was used to analyze the meaningful factors of univariate survival analysis with the Cox model. RESULTS: The survival rate of patients with OS ≥ 3 years was 13.6% (28/206). Cox multivariate regression analysis showed that PS score, clinical stage, disease control rate to first-line chemotherapy, and use of CM were independent factors of longterm OS (all <0.05). However, gender, age, smoking, and use of epidermal growth factor receptor tyrosine-kinase inhibitor were not significant (P>0.05). CONCLUSION: PS score, clinical stage, disease control rate to first-line chemotherapy, and use of CM are probably independent prognostic factors for long-term OS in patients with advanced NSCLC.

Prediction of active sites of enzymes by maximum relevance minimum redundancy (mRMR) feature selection.

Identification of catalytic residues plays a key role in understanding how enzymes work. Although numerous computational methods have been developed to predict catalytic residues and active sites, the prediction accuracy remains relatively low with high false positives. In this work, we developed a novel predictor based on the Random Forest algorithm (RF) aided by the maximum relevance minimum redundancy (mRMR) method and incremental feature selection (IFS). We incorporated features of physicochemical/biochemical properties, sequence conservation, residual disorder, secondary structure and solvent accessibility to predict active sites of enzymes and achieved an overall accuracy of 0.885687 and MCC of 0.689226 on an independent test dataset. Feature analysis showed that every category of the features except disorder contributed to the identification of active sites. It was also shown via the site-specific feature analysis that the features derived from the active site itself contributed most to the active site determination. Our prediction method may become a useful tool for identifying the active sites and the key features identified by the paper may provide valuable insights into the mechanism of catalysis.

Identification and characterization of human ARIP2 and its relation to breast cancer.

Activin, a member of the TGF-beta superfamily, inhibits the proliferation of breast cancer cells. Activin interacts with its type I and type II receptors to induce phosphorylation of intracellular signaling molecules known as Smads. Previous studies showed that mouse ARIP2 can reduce activin signaling by interacting with activin type II receptors (ActRIIs); however, the activity of ARIP2 in breast cancer is still unclear. In this study, we used RT-PCR to obtain a human homologue of mouse ARIP2, human activin receptor-interacting protein 2 (hARIP2). Like murine ARIP2, hARIP2 has a PDZ domain in its NH2-terminal region and can interact specifically with ActRIIs. Overexpression of hARIP2 reduced activin-induced transcriptional activity and enhanced cell proliferation and colony formation in human breast adenocarcinoma MCF-7 cells and MDA-MB-231 cells. However, down-regulation of hARIP2 expression by RNAi enhanced activin-induced transcriptional activity and reduced cell proliferation and colony formation. Immunohistochemistry revealed that hARIP2 was expressed more frequently and much more intensely in malignant breast tissues such as simple carcinoma, invasive ductal carcinoma and mucinous adenocarcinoma than in benign hyperplasia or fibroadenoma cases. These results suggest that hARIP2 is a putative growth-promoting factor involved in breast tumorigenesis and tumor development.

Effects of combined Chinese drugs and chemotherapy in treating advanced non-small cell lung cancer.

OBJECTIVE: To evaluate the efficacy and side effects of combined Chinese drugs and chemotherapy in treating advanced non-small cell lung cancer (NSCLC). METHODS: Sixty-three patients with stage III B and IV NSCLC hospitalized from October 2001 to October 2008 were enrolled and assigned to two groups using a randomizing digital table, with 33 patients in the treatment group and 30 in the control group. They were all treated with the Navelbine and Cisplatin (NP) chemotherapy, but to the treatment group the Chinese drugs Shengmai Injection () by intravenous dripping and Gujin Granule () by oral intake were given additionally. The main observation indexes were response rate (RR), median survival time, 1-year survival rate and median time to progression (TTP); secondary observation indexes were side effects and cycles of chemotherapy. RESULTS: Altogether, 61 patients (33 from the treatment group and 28 from the control group) completed the observation and were assessable. RR was 48.5% (16/33) in the treatment group and 32.2% (9/28) in the control group, and the median survival time were 13 months and 9 months, respectively; the difference between the two groups was significant (P=0.0373 and P=0.014 respectively). However, the differences between groups were insignificant in terms of 1-year survival rate [51.5% (17/33) vs 46.4% (13/28), P=0.4042], median TTP (5.95 months vs 4.64 months, P=0.3242), grade III or IV bone marrow inhibition occurrence rate [33.3% (11/33) vs 39.3% (11/28), P=0.3500], and mean cycles of chemotherapy applied (2.94+/-0.94 cycles vs 2.75+/-0.75 cycles, P=0.4100). CONCLUSION: Combined Chinese drugs and chemotherapy can enhance the short-term therapeutic efficacy in the treatment of NSCLC and prolong patients' median survival time, but show no evident impact on TTP.

[Environmental responses of four urban tree species transpiration in northern China].

By using thermal dissipation probes (TDP), this paper monitored the sap flow of four tree species (Cedrus deodara, Zelkova schneideriana, Euonymus bungeanus, and Metasequoia glyptostroboides) at the Laodong Park in Dalian City from June to August 2008, and the soil moisture content and micrometeorological variables were mehsured simultaneously. Due to the absence of water-stress in the habitat, the sap flow of all sampled trees had no significant correlation with soil moisture content (R2 < 0.050, P > 0.211, n=1296). The correlation coefficient between solar radiation and sap flow reached 0.624-0.773 (P = 0.00, n=1296) despite the existing hysteresis. Solar radiation had major effect (R2 > 0.700, P < 0.05) during early morning (5:00-8:00) and late afternoon (18:00-20:00) when undergoing dramatic changes. As the main factor determining nighttime sap flow (R2 > 0.660, P < 0.05, n=1872), vapor pressure deficit (VPD) had a correlation coefficient as high as 0.650-0.823 (P = 0.00, n=1296) with the sap flow in whole-day scale. Meanwhile, the models constructed on the basis of VPD were able to explain 90% of daily sap flow change (P = 0.00). The correlation coefficient between sap flow and wind speed was relatively smaller than the previous two (R2 < 0.380, P = 0.00, n=1296), though showing significant correlation in affecting sap flow. Observations also detected the saturation phenomenon of sap flow to the environmental demands.