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2,183 results on '"Shao, Yong"'

13. Identification of constrained sequence elements across 239 primate genomes

Author

Kuderna, Lukas F. K., Ulirsch, Jacob C., Rashid, Sabrina, Ameen, Mohamed, Sundaram, Laksshman, Hickey, Glenn, Cox, Anthony J., Gao, Hong, Kumar, Arvind, Aguet, Francois, Christmas, Matthew J., Clawson, Hiram, Haeussler, Maximilian, Janiak, Mareike C., Kuhlwilm, Martin, Orkin, Joseph D., Bataillon, Thomas, Manu, Shivakumara, Valenzuela, Alejandro, Bergman, Juraj, Rouselle, Marjolaine, Silva, Felipe Ennes, Agueda, Lidia, Blanc, Julie, Gut, Marta, de Vries, Dorien, Goodhead, Ian, Harris, R. Alan, Raveendran, Muthuswamy, Jensen, Axel, Chuma, Idriss S., Horvath, Julie E., Hvilsom, Christina, Juan, David, Frandsen, Peter, Schraiber, Joshua G., de Melo, Fabiano R., Bertuol, Fabrício, Byrne, Hazel, Sampaio, Iracilda, Farias, Izeni, Valsecchi, João, Messias, Malu, da Silva, Maria N. F., Trivedi, Mihir, Rossi, Rogerio, Hrbek, Tomas, Andriaholinirina, Nicole, Rabarivola, Clément J., Zaramody, Alphonse, Jolly, Clifford J., Phillips-Conroy, Jane, Wilkerson, Gregory, Abee, Christian, Simmons, Joe H., Fernandez-Duque, Eduardo, Kanthaswamy, Sree, Shiferaw, Fekadu, Wu, Dongdong, Zhou, Long, Shao, Yong, Zhang, Guojie, Keyyu, Julius D., Knauf, Sascha, Le, Minh D., Lizano, Esther, Merker, Stefan, Navarro, Arcadi, Nadler, Tilo, Khor, Chiea Chuen, Lee, Jessica, Tan, Patrick, Lim, Weng Khong, Kitchener, Andrew C., Zinner, Dietmar, Gut, Ivo, Melin, Amanda D., Guschanski, Katerina, Schierup, Mikkel Heide, Beck, Robin M. D., Karakikes, Ioannis, Wang, Kevin C., Umapathy, Govindhaswamy, Roos, Christian, Boubli, Jean P., Siepel, Adam, Kundaje, Anshul, Paten, Benedict, Lindblad-Toh, Kerstin, Rogers, Jeffrey, Marques Bonet, Tomas, and Farh, Kyle Kai-How

Published
2024
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16. Iron species and sulfur isotopic compositions of authigenic pyrite in deep-sea sediments at southern Hydrate Ridge, Cascadia margin (ODP Leg 204): implications for non-steady-state depositional and diagenetic processes

Author

Chenhui Liu, Shao-Yong Jiang, Xin Su, Xiaopeng Bian, Hai Ding, Da Li, and Tao Yang

Subjects
iron species, authigenic pyrite, sulfur isotopes, non-steady-state, Hydrate Ridge, ODP Leg 204, Science, General. Including nature conservation, geographical distribution, QH1-199.5
Abstract

Two accretionary sediment sequences from Sites 1245 and 1252 recovered during Ocean Drilling Program (ODP) Leg 204 at southern Hydrate Ridge were investigated to explore the response of geochemical partitioning of iron and sulfur isotopic composition of authigenic pyrite to non-steady-state depositional and diagenetic scenarios. Five iron species were characterized by a modified sequential extraction procedure that covers almost all iron-bearing minerals in sediment cores, including: (1) iron-bearing carbonates, mainly siderite; (2) ferric (hydr)oxides, probably ferrihydrite and/or lepidocrocite; (3) magnetite; (4) iron-bearing silicates; and (5) pyrite. Highly reactive iron has been accumulated for a long-term steady-state history and its pyritization, to varying degrees, is limited by availability of dissolved sulfide. This causes pyrite and siderite occurred in the same sedimentary layer and shows an inverse relationship between their concentrations. From this, their proportions to highly reactive iron can be chosen for evaluating the degree of sulfidization. A significant change in sulfur isotopic composition of pyrite (-42.4 to +16.8‰ VCDT) indicates that the steady-state conditions are dramatically limited, where the δ34S values higher than -20‰ may result from an upward shift of SMT zone close to the seafloor or a sudden, massive depositional event. To explain the downcore sulfidization effects and pyrite δ34S values, we developed two categories of conceptual scenarios based on variations in sedimentation rate and methane flux. The geochemical features similar to those derived from each scenario were searched in the sediment columns and the non-steady-state events behind the scenarios were proved to be consistent with the real observations. Thus, iron species and pyrite δ34S values can be regarded as a proxy to differentiate different non-steady-state depositional and diagenetic controls on the sedimentary record.

Published
2024
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21. A Prospective, Single-Arm, Phase 2 Study of Modified Transarterial Chemoembolization Using Low-Dose Chemotherapy with Blank Microspheres Plus Low-Dose Lenvatinib and Microwave Ablation in Patients with Large (≥7 cm) Unresectable Hepatocellular Carcinoma: The TALEM Trial

Author

Zhi-Mei Huang, Xue Han, Jian Wang, Ling Gu, Lu Tang, Shao-Yong Wu, Tian Di, Ying-Wen Hou, Wan Yee Lau, Yi-Quan Jiang, and Jin-Hua Huang

Subjects
blank microsphere transarterial chemoembolization, large unresectable hepatocellular carcinoma, levatinib, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Introduction: For patients with large unresectable hepatocellular carcinoma (HCC), the effectiveness of conventional transarterial chemoembolization (cTACE) remains suboptimal. This study investigated the efficacy and safety of modified TACE using low-dose chemotherapy with blank microspheres (BMS-TACE) plus low-dose lenvatinib (LD-LEN) and microwave ablation (MWA) in patients with large unresectable HCC. Methods: In this prospective, single-arm, phase 2 study, patients with unresectable HCC exceeding the up-to-seven criteria, with maximum tumor diameter ≥7 cm, and without macrovascular invasion or extrahepatic metastases, received initial BMS-TACE (lipiodol, low-dose doxorubicin, and lobaplatin up to 30 mg each, and blank microspheres; subsequently modified and repeated in most patients) plus LD-LEN (4–8 mg/day) and MWA. The primary endpoint was downstaging rate (DSR); secondary endpoints were objective response rate (ORR), progression-free survival (PFS), overall survival (OS), and adverse events. Results: From November 2019 to March 2022, 43 patients were enrolled. Median follow-up was 21.2 months. Median largest tumor diameter was 11.2 cm (interquartile range [IQR], 7–25). Following BMS-TACE and LD-LEN, downstaging occurred in 37 (86.0%) patients, 32 of whom received MWA, and 8 of whom had a complete response (CR) without MWA. ORR was 93.0% (CR in 32 [74.4%] and partial response in 8 [18.6%] patients). The 1-, 2-, and 3-year PFS rates were 57.5%, 25.9%, and 18.1%, respectively (median PFS, 14.7 months [95% CI: 8.1–19.5]). The 1-, 2-, and 3-year OS rates were 85.8%, 67.7%, and 61.6%, respectively (median OS, 36.4 months [95% CI: 26.8-not reached]). After BMS-TACE, a significant decline in CD11b+/CD33+/HLA-DR- myeloid-derived suppressor cells and early elevation in CXCR5+/CD8+ and CXCR5+/CD4+ T cells were observed (both p < 0.05). Conclusion: BMS-TACE plus LD-LEN and MWA resulted in promising efficacy and tolerable toxicity in patients with large unresectable HCC exceeding the up-to-seven criteria with a maximum tumor diameter ≥7 cm and without macrovascular invasion or extrahepatic metastases.

Published
2024
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22. A novel Gaussian sum quaternion constrained cubature Kalman filter algorithm for GNSS/SINS integrated attitude determination and positioning system

Author

Qing Dai, Guo-Rui Xiao, Guo-Hua Zhou, Qian-Qian Ye, and Shao-Yong Han

Subjects
GNSS/SINS integrated attitude determination and positioning system, nonlinear non-Gaussian system, Gaussian mixture model (GMM), Gaussian sum filter algorithm, quaternion cubature Kalman filter algorithm, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

The quaternion cubature Kalman filter (QCKF) algorithm has emerged as a prominent nonlinear filter algorithm and has found extensive applications in the field of GNSS/SINS integrated attitude determination and positioning system (GNSS/SINS-IADPS) data processing for unmanned aerial vehicles (UAV). However, on one hand, the QCKF algorithm is predicated on the assumption that the random model of filter algorithm, which follows a white Gaussian noise distribution. The noise in actual GNSS/SINS-IADPS is not the white Gaussian noise but rather a ubiquitous non-Gaussian noise. On the other hand, the use of quaternions as state variables is bound by normalization constraints. When applied directly in nonlinear non-Gaussian system without considering normalization constraints, the QCKF algorithm may result in a mismatch phenomenon in the filtering random model, potentially resulting in a decline in estimation accuracy. To address this issue, we propose a novel Gaussian sum quaternion constrained cubature Kalman filter (GSQCCKF) algorithm. This algorithm refines the random model of the QCKF by approximating non-Gaussian noise with a Gaussian mixture model. Meanwhile, to account for quaternion normalization in attitude determination, a two-step projection method is employed to constrain the quaternion, which consequently enhances the filtering estimation accuracy. Simulation and experimental analyses demonstrate that the proposed GSQCCKF algorithm significantly improves accuracy and adaptability in GNSS/SINS-IADPS data processing under non-Gaussian noise conditions for Unmanned Aerial Vehicles (UAVs).

Published
2024
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