Application of Multi-System Combination Precise Point Positioning in Landslide Monitoring

To verify the positioning performance and reliability of multi-system combination Precise Point Positioning in landslide monitoring, we carried out a multi-system combination Precise Point Positioning calculation experiment on the monitoring data of a single landslide disaster area in Fujian Province. The coordinates of the monitoring points obtained by a continuously operating reference station and the monitoring station for static relative positioning were used as reference values. The GPS system was used as the standard system and the combined PPP solution mode of G/R/C, G/R/E and G/R/E/C was used to obtain the surface displacement of the landslide area. The research showed that multi-system combination PPP converges to the centimeter level in about 30 min. The average value of internal accordant precision was more than 1 mm after convergence, and that of the external accordant precision was more than 5 cm, which meets the centimeter-level accuracy requirements in rapid landslide deformation monitoring.

JS01.3.A Oncogenic chaperoning of Hsp90 in glioma with FGFR3-TACC3

BACKGROUND Fusion genes are chromosomal aberrations in malignancies that can be used as prognostic markers as well as therapeutic targets. The FGFR3-TACC3 (F3-T3) was initially discovered as an oncogenic molecule in glioblastoma and bladder cancer and subsequently found in many other cancer types. Based on clinical evidence, F3-T3 was found in glioblastoma patients before and after TMZ and radiotherapy treatment, suggesting that targeting F3-T3 is a valid strategy for glioblastoma treatment. MATERIAL AND METHODS We profiled the proteins that interacted with F3-T3 fusion protein in U-251 MG cells with F3-T3 through 2-D liquid chromatography-tandem mass spectrometry. To validate the result of proteomic analysis, we performed reverse immunoprecipitation by pulling down Hsp90 or Cdc37 in U-251 MG cells stably expressing F3-T3. To inhibit the association between F3-T3 and the Hsp90-Cdc37 complex, we treated U-251 MG and LN-229 cells stably expressing F3-T3 with Hsp90 inhibitors or siRNA of Cdc37. We applied the CCK8 assay to evaluate the sensitivity of glioblastoma cells stably expressing F3-T3, wild-type FGFR3, kinase-dead F3-T3 (K508R), and empty vectors to TMZ. Immunoblot and immunofluorescence staining were used to detect DNA damage marker pH2AX. The drug combination effect index was analyzed using software CalcuSyn. U-251 MG cells stably expressing F3-T3 infected with luciferase virus were intracranially injected in nude mice. The experimental group was administered with temozolomide (5mg/kg/day) by oral gavage, Hsp90 inhibitor Onalespib (30mg/kg/day) by tail vein injection or the combination of the two for indicated days. RESULTS We identified the proteins that showed increased binding ratios to F3-T3 over full-length FGFR3, the molecular chaperone proteins encoded by the genes HSP90AB1, HSP90AA1, and CDC37 emerged as 5th, 6th, and 7th on the top ten list, showing an approximately 4-fold increase in normalized spectral counts. Using Hsp90 inhibitors or Cdc37 siRNA disrupted the formation of the F3-T3/Hsp90/Cdc37 complex. Disruption of Hsp90-Cdc37 chaperoning caused a ubiquitination-mediated degradation of the glycosylated form of F3-T3 and abrogated the maturation of nascent F3-T3, resulting in suppression of F3-T3 signaling pathways. Additionally, our results provide evidence that the F3-T3 signaling pathway confers drug resistance to TMZ induced DNA damage. However, the resistance of TMZ was disrupted in glioblastoma cells harboring kinase-dead F3-T3 (K508R). We also demonstrated Hsp90 inhibitor significantly sensitized glioblastoma cells harboring the F3-T3 fusion gene to TMZ treatment and improved survival of xenograft model bearing F3-T3 tumor in vivo. CONCLUSION F3-T3 is a strong Hsp90 client that shows strong addiction to the Hsp90-Cdc37 chaperone system. Combination therapy with Hsp90 inhibitor overcomes the TMZ resistance conferred by F3-T3.

The Subcooling Effect of the Flue Gas Flow Mixture Internal Dynamic and Heating Capacity

Growing environmental restrictions in energy production industry calls for greater efficiency and cleaner fuel burning processes. Biomass (wood chips) as a fuel is in great demand for boiler and power plants as it is considered widely available and relatively clean. While combining woodfuel flue gas and condensing economizers significantly raises the efficiency and makes it even more viable solution for energy production although the biomass fuel usage still has reservations in waste heat, which could be utilized. The calculation algorithm is presented for evaluation of subcooled biomass flue gas components concentration values which determine the leftover heat energy value carried by flue gas flow. Several cases of biomass quality (regarding moisture w=45%, 50%, 55% and 60%) and combustion process quality (regarding air excess value λ=1,2; 1,5; 1,8) in the flue gas temperature range of 50 to 20°C and effects for flue gas internal dynamic were examined. It was determined that water vapour amount depends only on temperature, while every other component concentration change with different air excess and temperature values. It was observed that further usage of biomass flue gas could result in up to 13% additional heat energy recovery for 1MW of fuel input, system combination together with condensing economizers could result in up to 31% of heat energy recovery.

Assessment of GPS/Galileo/BDS Precise Point Positioning with Ambiguity Resolution Using Products from Different Analysis Centers

Suffering from hardware phase biases originating from satellites and the receiver, precise point positioning (PPP) requires a long convergence time to reach centimeter coordinate accuracy, which is a major drawback of this technique and limits its application in time-critical applications. Ambiguity resolution (AR) is the key to a fast convergence time and a high-precision solution for PPP technology and PPP AR products are critical to implement PPP AR. Nowadays, various institutions provide PPP AR products in different forms with different strategies, which allow to enable PPP AR for Global Positioning System (GPS) and Galileo or BeiDou Navigation System (BDS). To give a full evaluation of PPP AR performance with various products, this work comprehensively investigates the positioning performance of GPS-only and multi-GNSS (Global Navigation Satellite System) combination PPP AR with the precise products from CNES, SGG, CODE, and PRIDE Lab using our in-house software. The positioning performance in terms of positioning accuracy, convergence time and fixing rate (FR) as well as time to first fix (TTFF), was assessed by static and kinematic PPP AR models. For GPS-only, combined GPS and Galileo PPP AR with different products, the positioning performances were all comparable with each other. Concretely, the static positioning errors can be reduced by 21.0% (to 0.46 cm), 52.5% (to 0.45 cm), 10.0% (to 1.33 cm) and 21.7% (to 0.33 cm), 47.4% (to 0.34 cm), 9.5% (to 1.16 cm) for GPS-only and GE combination in north, east, up component, respectively, while the reductions are 20.8% (to 1.13 cm), 42.9% (to 1.15 cm), 19.9% (to 3.4 cm) and 20.4% (to 0.72 cm), 44.1% (to 0.66 cm), 10.1% (to 2.44 cm) for kinematic PPP AR. Overall, the positioning performance with CODE products was superior to the others. Furthermore, multi-GNSS observations had significant improvements in PPP performance with float solutions and the TTFF as well as the FR of GPS PPP AR could be improved by adding observations from other GNSS. Additionally, we have released the source code for multi-GNSS PPP AR, anyone can freely access the code and example data from GitHub.

Clinical Utility of Biosensing Platforms for Confirmation of SARS-CoV-2 Infection

Despite collaborative efforts from all countries, coronavirus disease 2019 (COVID-19) pandemic has been continuing to spread globally, forcing the world into social distancing period, making a special challenge for public healthcare system. Before vaccine widely available, the best approach to manage severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is to achieve highest diagnostic accuracy by improving biosensor efficacy. For SARS-CoV-2 diagnostics, intensive attempts have been made by many scientists to ameliorate the drawback of current biosensors of SARS-CoV-2 in clinical diagnosis to offer benefits related to platform proposal, systematic analytical methods, system combination, and miniaturization. This review assesses ongoing research efforts aimed at developing integrated diagnostic tools to detect RNA viruses and their biomarkers for clinical diagnostics of SARS-CoV-2 infection and further highlights promising technology for SARS-CoV-2 specific diagnosis. The comparisons of SARS-CoV-2 biomarkers as well as their applicable biosensors in the field of clinical diagnosis were summarized to give scientists an advantage to develop superior diagnostic platforms. Furthermore, this review describes the prospects for this rapidly growing field of diagnostic research, raising further interest in analytical technology and strategic plan for future pandemics.

Off-grid rural electrification using integrated renewable energy sources

Presented in this study is an economic and technical evaluation to determine the optimal system combination for off-grid power generation based on solar, wind and biodiesel renewable energy resource. Nsukka being endowed with high intensity solar radiation, adequate wind speed and sufficient bioresource is a prospective candidate for a hybrid system. The monthly average daily global radiation ranges from 3.91kWh/m2 to 5.74kWh/m2 and the average wind speed is about 2.64m/s. This system was designed to meet the load requirement of the school with annual electrical demand of 10,163 MWh. Sensitivity analysis was carried out based on the effect of change in biodiesel fuel price and interest rates on the economic performance criteria of the optimal configuration. The optimum hybrid system is composed of 1kW capacity PV system, auto sized biodiesel generator and battery bank of 820h of autonomy. The Levelized Cost of Energy from the optimal system was found to be $0.0898/kWh based on sensitivity results. These results obtained shows that an integrated system with combination of PV, biodiesel generator and battery bank is a cost-effective alternative to grid extension which cost $0.126/kWh. The system life span is for 25years and it is sustainable, economical, technically feasible and environmentally friendly.

Hybrid System Combination Framework for Uyghur–Chinese Machine Translation

Both the statistical machine translation (SMT) model and neural machine translation (NMT) model are the representative models in Uyghur–Chinese machine translation tasks with their own merits. Thus, it will be a promising direction to combine the advantages of them to further improve the translation performance. In this paper, we present a hybrid framework of developing a system combination for a Uyghur–Chinese machine translation task that works in three layers to achieve better translation results. In the first layer, we construct various machine translation systems including SMT and NMT. In the second layer, the outputs of multiple systems are combined to leverage the advantage of SMT and NMT models by using a multi-source-based system combination approach and the voting-based system combination approaches. Moreover, instead of selecting an individual system’s combined outputs as the final results, we transmit the outputs of the first layer and the second layer into the final layer to make a better prediction. Experiment results on the Uyghur–Chinese translation task show that the proposed framework can significantly outperform the baseline systems in terms of both the accuracy and fluency, which achieves a better performance by 1.75 BLEU points compared with the best individual system and by 0.66 BLEU points compared with the conventional system combination methods, respectively.