320 research outputs found
Study on a NiTiHfTa shape memory alloy with high-pressure torsion and subsequent annealing
No full textAn alloy with the composition of 49.6Ni-35.4Ti-9Hf-6Ta (at%) was processed by high-pressure torsion (HPT) and postHPT annealing treatment. The microhardness of HPT-processed samples increased obviously, and amorphous featureappeared in 2 turns sample. The microhardness further increased and amorhozation was enhanced in 16 turns sample. After annealing at 750 ℃ for 3h, almost full crystallization occurs in 16 turns sample. In-situ high temperature X-ray diffraction experiment reveals that martensite to austenite transformation took place, indicating the alloy would exhibit SMA effect
A novel strategy for fabricating phase transforming NiTi shape memory alloy via multiple processes of severe plastic deformation
Full text linkNiTi shape memory alloy was successfully fabricated from Ni/Ti multilayers via an innovatively combinative route consisting of accumulative roll bonding (ARB), high-pressure torsion (HPT) and annealing. Due to the severe plastic deformation induced by ARB and HPT, the subsequently post annealing time was significantly reduced. Differential scanning calorimetry (DSC) analysis confirms the occurrence of austenitic and martensitic transformations during heating and cooling process, implying that the shape memory effect was obtained
Discovery of a novel alpha isoform of the long-known enzyme LDHA provides new insights into cancer research
No full textLactate dehydrogenase A is a key enzyme in energy metabolism, with significant roles in cancer progression. Huang et al. identified LDHAα, a novel LDHA isoform derived from an alternative transcript initiated at AUG198, producing a protein 3 kDa larger than canonical LDHA. LDHAα exhibits enhanced glycolytic activity and promotes glucose uptake, lactate production, and tumor growth more effectively than LDHA. Regulated by c-MYC and FOXM1, LDHAα is mainly cytoplasmic and serves as a potential cancer biomarker and therapeutic target. These findings highlight LDHAα's unique role in cancer metabolism and its potential for advancing targeted cancer therapies. © 2025 The Author(s). The FEBS Journal published by John Wiley & Sons Ltd on behalf of Federation of European Biochemical Societies.TRUEsciescopu
Role and Mechanism of Growth Differentiation Factor 15 in Chronic Kidney Disease
Full text linkYifang Tang,1,* Tao Liu,2,* Shibo Sun,3 Youbo Peng,1 Xiaoxiao Huang,4 Shuangquan Wang,4 Zhu Zhou1 1Department of Nephrology, the First Affiliated Hospital, Kunming Medical University, Kunming, People’s Republic of China; 2Organ Transplantation Center, the First Affiliated Hospital, Kunming Medical University, Kunming, People’s Republic of China; 3Department of Pulmonary and Critical Care Medicine, First Affiliated Hospital, Kunming Medical University, Kunming, People’s Republic of China; 4Department of Nephrology, Xishuangbanna Dai Autonomous Prefecture People’s Hospital, Xishuangbanna, People’s Republic of China*These authors contributed equally to this workCorrespondence: Zhu Zhou, Department of Nephrology, The First Affiliated Hospital of Kunming Medical University and Yunnan Province Clinical Research Center for Chronic Kidney Disease, No. 295, Xichang Road, Wuhua District, Kunming, People’s Republic of China, Email [email protected] Shibo Sun, Department of Pulmonary and Critical Care Medicine, First Affiliated Hospital, Kunming Medical University, No. 295, Xichang Road, Wuhua District, Kunming, People’s Republic of China, Email [email protected]: GDF-15 is an essential member of the transforming growth factor-beta superfamily. Its functions mainly involve in tissue injury, inflammation, fibrosis, regulation of appetite and weight, development of tumor, and cardiovascular disease. GDF-15 is involved in various signaling pathways, such as MAPK pathway, PI3K/AKT pathway, STAT3 pathway, RET pathway, and SMAD pathway. In addition, several factors such as p53, ROS, and TNF-α participate the regulation of GDF-15. However, the specific mechanism of these factors regulating GDF-15 is still unclear and more research is needed to explore them. GDF-15 mainly improves the function of kidneys in CKD and plays an important role in the prediction of CKD progression and cardiovascular complications. In addition, the role of GDF-15 in the kidney may be related to the SMAD and MAPK pathways. However, the specific mechanism of these pathways remains unclear. Accordingly, more research on the specific mechanism of GDF-15 affecting kidney disease is needed in the future. In conclusion, GDF-15 may be a therapeutic target for kidney disease.Keywords: chronic kidney disease, GDF-15, biomarker, inflammation, renal protectio
Study on the multi-sensors monitoring and information fusion technology of dangerous cargo container
No full text<b>Efficacy and safety of first-line immunotherapy for advanced or metastatic urothelial carcinoma: a systematic review and network meta-analysis</b>
No full textThe advent of immunotherapy has enriched the therapeutic landscape of UC by challenging the existing therapeutic limitations of the chemotherapy era. Despite improved survival outcomes with immunotherapeutic agents, only 30% of patients who qualify for treatment experience lasting clinical benefit, possibly reflecting heterogeneous disease biology. In order to understand the best treatment decisions and to guide recommendations, we aimed to systematically evaluate the available evidence in the literature regarding the safety and efficacy of immunotherapy agents in patients with advanced uroepithelial cancer.</p
<b>Efficacy and safety of different regimens of neoadjuvant therapy in patients with hormone receptor-positive, Her2-negative breast cancer</b>
No full textThe aim of this systematic review and network meta-analysis (NMA) is to analyse the efficacy and safety of different neoadjuvant treatment regimens in patients with hormone receptor-positive, her2 negative breast cancer.</p
Impact of different cumulus convective parameterization schemes on the simulation of precipitation over China
No full textThe impact of two cumulus convective schemes on the simulation of the precipitation over China is investigated using the Weather Research and Forecasting (WRF) model. Simulations for the period of 1982–2004 are performed at a horizontal resolution of 30 km and forced by NCEP Reanalysis II data. Results show precipitation simulated with the WRF model is quite sensitive to the choice of Kain–Fritsch and Grell cumulus schemes. Both the schemes have distinct skills in predicting the seasonal mean pattern, annual cycle and interannual variation in precipitation. The results show that the Kain–Fritsch scheme tends to overestimate the magnitude of the summer and annual mean precipitation over the main rain-belts, while the Grell scheme tends to underestimate these effects, particularly the simulation of the summer extreme precipitation. However, the Kain–Fritsch scheme is more skilful in capturing the seasonal mean pattern and annual cycle with higher spatial correlations in the main rain-belts. The Grell scheme shows some advantages for northern China and the Tibetan Plateau, especially in representing the interannual variation. The optimal ensemble approach is used to determine the best combination of the two schemes, with the results giving a better overall performance than the individual schemes alone in predicting summer precipitation. The temporal correlation coefficient of precipitation for the ensemble is significantly higher, while the root mean square error of extreme precipitation is reduced compared with the Kain–Fritsch and Grell results. This shows that the ensemble approach based on the optimal ensemble weight combines the advantages of the two cumulus schemes efficiently
Assimilating Conventional and Doppler Radar Data with a Hybrid Approach to Improve Forecasting of a Convective System
No full textA hybrid ensemble adjustment Kalman filter—three-dimensional ensemble—variational (EAKF-En3DVar) system is developed to assimilate conventional and radar data, and is applied to a convective case in Colorado and Kansas, USA. The system is based on the framework of the Weather Research and Forecasting model’s three-dimensional variational (3DVar) and Data Assimilation Research Testbed. A two-step assimilation procedure with a shorter length scale and analysis cycle is used to reduce analysis noise in radar data assimilation. Results show that the hybrid experiment assimilating only conventional data improves the quantitative precipitation forecast (QPF) and quantitative reflectivity forecast over those of a 3DVar experiment, and the improvements are also evident after assimilating radar data. The assimilation of radar data substantially improves the QPF up to seven hours, with either the 3DVar or hybrid method. The hybrid experiment assimilating both conventional and radar data forecasts a more accurate convective system in terms of structure, spatial extent and intensity and produces increased low-level cooling and mid-level warming in the convective region. These improvements are attributable to an improved forecast background field of wind, temperature and water vapor mixing ratio, with maximum root mean square error reduction at the tropopause and near the surface
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