Sensor Selection and Location Scheme for Prognostic and Health Management

The performance of electronic vehicle PHM relies not only on the diagnostic and prognostic algorithms used, but also on the types, location, and number of sensors selected. The paper firstly presents the architecture for PHM. Sensor localization and selection for fault diagnostic purposes is the importance part. It introduces the new sensor approach for PHM, such as smart sensor. Sensor localization and selection for fault diagnosis has been studied. A novel scheme for a diagnostic and prognostic system to integrate the functions of sensor localization and selection, feature extraction, mode identification, fault diagnosis and prognosis is introduced. The detailed process includes modeling, FMECA research, FOM, optimization algorithm and performance assessment .The algorithm combines particle swarm optimization method with a heuristic search algorithm to solve the NP question

Fault prognostic based on AR-LSSVR for electrolytic capacitor

U radu se opisuje metoda predviđanja greške na osnovu Autoregressive - Support Vector Regression Metode (AR-LSSVR) za elektrolitički kondenzator. Budući da je elektrolitički kondenzator jeftin, a velik, uveliko se primjenjuje u elektroničkim krugovima. Najprije se daje osnovni model i algoritam za predviđanje greške za AR, LSSVM i AR-LSSVR. Model AR-LSSVR kombinira prednosti algoritma LSSVR-a i modela AR te ih dopunjuje kako bi se povećala točnost predviđanja. Daje se dijagram toka predviđanja pojave greške na temelju AR-LSSVR. Konačno se AR-LSSVR model primjenjuje na Buck strujni krug. Rezultati pokazuju da je predviđanje greške elektrolitičkog kondenzatora bolje primjenom modela AR-LSSVR.This paper puts forward a method of fault prognostic based on Autoregressive - Support Vector Regression Method (AR-LSSVR) for electrolytic capacitor. Because the electrolytic capacitor is low in cost and large in volume, it is widely used in power electronic circuits. Firstly it introduces the basic model and the fault prognostic algorithm of the AR, LSSVM and AR-LSSVR. The AR-LSSVR prediction model combines the prediction algorithm advantage of the LSSVR and the AR model and complements the two to enhance prediction accuracy. It introduces the flow chart of fault trend prediction based on AR-LSSVR. Finally, the AR-LSSVR model is applied to the Buck circuit. The results indicate that the AR-LSSVR model performs better in trend prediction of electrolytic capacitor

高温离子热快速合成AlPO4 -42分子筛

In this work,AlPO_4-42 molecular sieves was rapidly synthesized by ionothermal synthesis with phosphoric acid as phosphorus sources and isopropanol aluminum as aluminum sources in ionic liquid [BMIM]Br at 280℃,and some other type aluminophosphate molecular sieves were synthesized by this way. XRD,SEM,BET and solid-state mas NMR were used to investigate the influence of the ratio of materials,template agent and different crystallization time on synthesis. The specific surface area,size of the entrance and filler in the pore for as-prepared AlPO_4-42 molecular sieves were characterized as well. The results indicated that the structure of AlPO_4-42 molecular sieves has been already formed after 4 min. The synthesized AlPO_4-42 molecular sieves had a tetrakaidecahedron morphology,which is obviously different with the AlPO_4-42 molecular sieves of cube morphology obtained by conventional approach,and the specific surface area and pore volume of AlPO_4-42 molecular sieves were changed too. In the process of synthesis AlPO_4-42 molecular sieves, the coordinated action of ionic liquid and template led to form the products

Light microscope investigation of meiotic chromosome pairing in artificial triploid fishes with blocked ovaries

Chromosome pairing was light microscopically investigated by applying surface spreading technique in combination with 1-step silver staining method for the pachytene chromosome of artificial triploid transparent colored crucian carp (Carassius auratus transparent colored variety) with blocked ovaries. The triploid fishes were produced from hydrostatic pressure shock for fertilized eggs by inducing second polar body retention. The study was performed on the triploid females with blocked ovaries, one of many different types of females with various developing ovaries. Two subtypes were distinguished according to the presence or absence of primary oocytes. Meiotic prophase cells were not observed in the triploid females without primary oocytes. In the triploid females with blocked ovaries containing differentiated primary oocytes, the pachytene chromosomes were mainly composed of bivalents and unsynapsed univalents, and a few of trivalents and other multivalents were also found. There are about 90 chromosome elements including univalents, bivalents, trivalents and other multivalents in the pachytene cells. The size of chromosomes among different pachytene cells was obviously various. The pairing forks and specific synaptonemal proteins were clearly observed at some pairing and paired chromosomes. The relationship between disturbed chromosome pairing and blocked oocyte developing has been briefly discussed. The investigation also suggested that the artificial triploid fishes might be excellent materials for studying the mechanism of chromosome pairing and synapsing

32A9, a novel human antibody for designing an immunotoxin and CAR-T cells against glypican-3 in hepatocellular carcinoma

BACKGROUND: Treatment of hepatocellular carcinoma (HCC) using antibody-based targeted therapies, such as antibody conjugates and chimeric antigen receptor T (CAR-T) cell therapy, shows potent antitumor efficacy. Glypican-3 (GPC3) is an emerging HCC therapeutic target; therefore, antibodies against GPC3 would be useful tools for developing immunotherapies for HCC. METHODS: We isolated a novel human monoclonal antibody, 32A9, by phage display technology. We determined specificity, affinity, epitope and anti-tumor activity of 32A9, and developed 32A9-based immunotherapy technologies for evaluating the potency of HCC treatment in vitro or in vivo. RESULTS: 32A9 recognized human GPC3 with potent affinity and specificity. The epitope of 32A9 was located in the region of the GPC3 protein core close to the modification sites of the HS chain and outside of the Wnt-binding site of GPC3. The 32A9 antibody significantly inhibited HCC xenograft tumor growth in vivo. We then pursued two 32A9-based immunotherapeutic strategies by constructing an immunotoxin and CAR-T cells. The 32A9 immunotoxin exhibited specific cytotoxicity to GPC3-positive cancer cells, while 32A9 CAR-T cells efficiently eliminated GPC3-positive HCC cells in vitro and caused HCC xenograft tumor regressions in vivo. CONCLUSIONS: Our study provides a rationale for 32A9 as a promising GPC3-specific antibody candidate for HCC immunotherapy

Additional file 1 of Integrated transcriptomics and metabolomics analysis provides insights into aromatic volatiles formation in Cinnamomum cassia bark at different harvesting times

Additional file 1: Supplementary Fig. S1. Differentially accumulated volatiles (DAVs) in different harvesting times. Supplementary Fig. S2. The venn diagrams of DAVs among four comparisons. Supplementary Fig. S3. K-means clustering analysis of the DAVs. Supplementary Fig. S4. Significantly enriched KEGG pathways of DEGs