A5075141084- Soil Moisture and Remote Sensing
- Antenna Design and Optimization
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Indoor and Outdoor Localization Technologies
- Microwave Engineering and Waveguides
- Advanced SAR Imaging Techniques
- Precipitation Measurement and Analysis
- Radio Astronomy Observations and Technology
- Analytical Chemistry and Chromatography
- Geophysical Methods and Applications
- Optical measurement and interference techniques
- Cryospheric studies and observations
- CAR-T cell therapy research
- Advanced Sensor and Control Systems
- Underwater Acoustics Research
- Radar Systems and Signal Processing
- Terahertz technology and applications
- Real-Time Systems Scheduling
- Gait Recognition and Analysis
- Microwave and Dielectric Measurement Techniques
- Advanced Measurement and Detection Methods
- Biodiesel Production and Applications
- Mass Spectrometry Techniques and Applications
- Advanced Multi-Objective Optimization Algorithms
- Green IT and Sustainability
Regend Therapeutics (China)
2024
Oil Crops Research Institute
2023-2024
Chinese Academy of Agricultural Sciences
2023-2024
Minzu University of China
2023-2024
Huawei Technologies (China)
2019-2023
Xiamen University
2023
Collaborative Innovation Center of Chemistry for Energy Materials
2023
China Guangzhou Analysis and Testing Center
2022
University of Pittsburgh
2022
Hunan Institute of Science and Technology
2022
CT041 is a chimeric antigen receptor (CAR)-modified T-cell therapy that specifically targets claudin18.2 in solid tumors. Here, we report the pooled analysis results of two exploratory clinical trials to evaluate patients with previously treated pancreatic cancer (PC).
<sec><b>Objective</b>Immunotherapeutic outcomes and clinical characteristics of claudin 18 isoform 2 positive (CLDN18.2-positive) gastric cancer (GC) vary in different studies, making it difficult to optimize anti-CLDN18.2 therapy. We conducted a retrospective analysis explore the association CLDN18.2 expression with clinicopathological immunotherapeutic GC.</sec><sec><b>Methods</b>A total 536 advanced GC patients from 2019 2021 CT041-CG4006 CT041-ST-01 trials were included analysis. on ≥40%...
2501 Background: Autologous anti-claudin18.2 (CLDN18.2) CAR T cell, satricabtagene autoleucel (satri-cel)/CT041, was investigated in gastrointestinal cancers clinical trials. The interim results of CT041-CG4006 trial (NCT03874897) were published June 2022 [1] . Herein, we present the final this trial. Methods: This single-arm, open-label, phase 1 evaluated safety and efficacy CT041 patients (pts) with CLDN18.2-positive advanced (GI) cancers. consisted a dose-escalation (250×10 6 , 375×10...
The polarization properties of thermal millimeter-wave emission capture inherent information objects, e.g., material composition, shape, and surface features. In this paper, a polarization-based material-classification technique using passive polarimetric imagery is presented. Linear ratio (LPR) created to be new feature discriminator that sensitive type remove the reflected ambient radiation effect. LPR characteristics several common natural artificial materials are investigated by...
High-performance deep learning depends on efficient tensor programs. In recent years, automatic program optimization, also known as compilation, has emerged the primary approach to generating However, how generate kernels with higher performance in a shorter time is still key challenge. this paper, we present Gensor, graph-based construction compilation method for learning, further improve of compilation. Unlike existing tree-based methods, Gensor abstracts space into graph structure. then...
The presence of V-pit defects affects the growth and properties GaN crystal. However, behavior in Na flux method have not been investigated...
Human motion recognition (HMR) based on wireless sensing is a low-cost technique for scene understanding. Current HMR systems adopt support vector machines (SVMs) and convolutional neural networks (CNNs) to classify radar signals. However, whether deeper learning model could improve the system performance currently not known. On other hand, training machine requires large dataset, but data gathering from experiment cost-expensive time-consuming. Although channel models can be adopted dataset...
The Soil Moisture and Ocean Salinity (SMOS) mission led by the European Space Agency (ESA) is aimed to globally monitor Earth surface moisture ocean salinity. As single payload of SMOS satellite, Microwave Interferometric Radiometer with Aperture Synthesis (MIRAS) operates in protected L-band. Nonetheless, artificial sources emitting close or/and fully this band are contaminating collected remote sensing data deteriorating performance mission. Identifying localizing such crucial improve...
Characterizing the sensing and communication performance tradeoff in integrated (ISAC) systems is challenging applications of learning-based human motion recognition. This because large experimental data sets black-box nature deep neural networks. article presents SDP3, a Simulation-Driven Performance Predictor oPtimizer, which consists SDP3 simulator, predictor optimizer. Specifically, simulator generates vivid wireless virtual environment, predicts based on curve fitting method, optimizer...
Double difference bases (DDBs) and construction of thinned linear arrays with twofold redundancy are discussed in this communication. We present an analytical method, based on the combinatorial tools, to generate by employing regular DDB patterns separately or combining them cyclic sets. Besides, bound for DDBs is derived that would be useful research array geometries.
For aperture synthesis radiometers, sparse samplings on the $u$ -$v$ frequency plane cause undesirable sidelobes in synthesized beam. Through these sidelobes, artificial sources emitting protected 1400-1427 MHz band contaminate retrievals of soil moisture and ocean salinity (SMOS) from MIRAS measurements. One effective way to correct interferences is create a synthetic signal compensate for interference's impact. Based similar idea, this letter, we describe an algorithm impact by...
This communication addresses the thinned linear array design for optimization of radiometric sensitivity and angular resolution, both which are crucial characteristics interferometric aperture synthesis radiometers (IASRs). First, we establish a multiobjective model concerning their tradeoff. Then, three state-of-the-art search algorithms, namely, particle swarm (MOPSO), nondominated sorting genetic algorithm II (NSGA-II), neighbor immune (NNIA), implemented arrays. Furthermore, constraint...
An accurate geolocation of the radio frequency interference (RFI) sources is significant to effectively switch off illegal transmitters. In this study, utilizing sparse property RFI in observed scene, a super-resolution localization method based on compressive sensing presented synthetic aperture interferometric radiometer (SAIR). Numerical results show can achieve an even when there are some missing data due correlator or receiver failure.
In this letter, an imaging method with array factor synthesis in synthetic aperture interferometric radiometers (SAIRs) is presented. The presented can efficiently control the characteristics of equivalent SAIR, such as null position and depth, sidelobe level, so on, which will be beneficial presence potential interferences, radio frequency interference. based on formulation that SAIR to a phased virtual antenna element located each baseline. previous built-in conventional Fourier inverse...
The presence of radio frequency interference (RFI) sources emitting in the L-band, which is reserved for passive measurements by International Telecommunications Union (ITU) regulations, has seriously deteriorated data quality many brightness temperature (BT) snapshots Soil Moisture and Ocean Salinity (SMOS) project. In order to obviate Gibbs-like contamination on BT maps, one effective way locate positions RFI switch them off. This article discusses a new method localization that tailored...
Radiometric sensitivity is a crucially important performance metric of interferometric aperture synthesis radiometers (IASRs). When synthesizing array geometries for optimum performance, the minimum-degradation or low-degradation arrays (MDAs LDAs) are employed to fulfill requirements baseline coverage and redundancy distribution. This paper presents study on combinatorial design linear (LDLAs), based concept multiple difference basis (MDB). Such deterministic method can attain satisfactory...
This paper presents a study on expansion design of thinned arrays in interferometric aperture synthesis radiometers. The problem deals with how to properly employ limited number antenna elements around fixed array fulfill performance requirements interest, such as angular resolution, peak sidelobe level, and redundancy. These factors merit are grouped discussed within the framework multi-objective design. Three state-of-the-art optimizers based particle swarm optimization, non-dominated...
This letter presents a study on the effects of baseline weighting performance radiometric sensitivity in interferometric aperture synthesis radiometers (IASRs). After brief review computation sensitivity, its theoretical lower bound, associated with concept coherent gain, is derived. We also draw attention to tradeoffs between and several spatial-domain properties IASRs from which different weightings can be compared. Numerical examples are given demonstrate significance comparative analysis.
Radio frequency interference (RFI) is one of the most significant limiting factors in retrieval geophysical parameters measured by microwave radiometers. In this work, based on visibilities European Space Agency's Soil Moisture and Ocean Salinity (SMOS) mission, RFI mitigation results are presented using two approaches array factor synthesis synthetic aperture interferometric radiometry, i.e., null control low sidelobe synthesis. Results show that, for approach with control, Gibbs-like...