A5082431442- Cancer Immunotherapy and Biomarkers
- Environmental Quality and Pollution
- Statistical Methods and Inference
- Anomaly Detection Techniques and Applications
- Statistical Methods in Clinical Trials
- Optimal Experimental Design Methods
- Advanced machining processes and optimization
- Tensor decomposition and applications
- Microwave Engineering and Waveguides
- Heavy metals in environment
- Diabetes Treatment and Management
- Bladder and Urothelial Cancer Treatments
- Advanced MIMO Systems Optimization
- Advanced Antenna and Metasurface Technologies
- Electromagnetic Compatibility and Noise Suppression
- Advanced Wireless Communication Technologies
- Environmental Changes in China
- Grouting, Rheology, and Soil Mechanics
- Landfill Environmental Impact Studies
- Manufacturing Process and Optimization
- Sparse and Compressive Sensing Techniques
- Millimeter-Wave Propagation and Modeling
- Cutaneous Melanoma Detection and Management
- Image and Object Detection Techniques
- Methane Hydrates and Related Phenomena
Decision Sciences (United States)
2022-2025
Xi’an Jiaotong-Liverpool University
2025
Merck & Co., Inc., Rahway, NJ, USA (United States)
2022-2025
Beijing University of Posts and Telecommunications
2021-2024
Xi'an Jiaotong University
2024
Beijing University of Technology
2003-2024
Pearl River Hydraulic Research Institute
2024
Kunming University of Science and Technology
2024
China National Botanical Garden
2024
Lanzhou University of Technology
2011-2024
Background Adjuvant pembrolizumab significantly improved recurrence-free survival (RFS) and distant metastasis-free (DMFS) versus placebo in the phase 3 KEYNOTE-716 study of resected stage IIB or IIC melanoma. At prespecified third interim analysis (data cut-off, January 4, 2022), HR for RFS overall population was 0.64 (95% CI, 0.50 to 0.84) DMFS 0.47 0.88). We present a post hoc efficacy by subtypes defined histopathologic characteristics. Methods Patients aged ≥12 years with newly...
Purpose Trajectory planning is a core aspect of manipulator operation, directly influencing its performance. This paper aims to introduce chaotic improved sparrow search algorithm (CISSA) optimize hybrid polynomial-interpolated trajectories, enhancing the efficiency and precision trajectory planning. Design/methodology/approach The proposed approach leverages 3-5-3 polynomial interpolation construct motion 6R manipulator. To over time, enhanced with mapping, discoverer dispersion strategy,...
To evaluate the effect of genetic variant status on sotatercept efficacy and treatment biomarkers in pulmonary arterial hypertension Methods: PULSAR (NCT03496207) was a phase 2, randomized, controlled study vs placebo added to background therapy for hypertension. Participants had DNA sequencing done at baseline detect variants disease-associated genes (ACVRL1, BMPR2, CAV1, EIF2AK4, ENG, KCNA3, KCNK3, SMAD9). Safety (adverse events) (pulmonary vascular resistance, 6-minute walk distance) were...
Background Although prognostic models based on pyroptosis-related genes (PRGs) have been constructed in bladder cancer (BLCA), the comprehensive impact of these tumor microenvironment (TME) and immunotherapeutic response has yet to be investigated. Methods Based expression profiles 52 PRGs, we utilized unsupervised clustering algorithm identify PRGs subtypes ssGSEA quantify immune cells hallmark pathways. Moreover, screened feature distinct validated associations with infiltrations tissue...
ABSTRACT Adjustment of statistical significance levels for repeated analysis in group‐sequential trials has been understood some time. accounting testing multiple hypotheses is also well understood. There limited research on simultaneously adjusting both hypothesis and analyses one or more hypotheses. We address this gap by proposing adjusted‐sequential p‐values that reject when they are less than equal to the family‐wise Type I error rate (FWER). propose sequential ‐values intersection...
Finishing determines the final dimension and geometric accuracy of parts, finishing process directly affects stiffness residual stress redistribution workpiece, so optimisation plays a very important role in deformation control. At present, existing data-driven methods for control need large amount labelled training data, which is always challenge manufacturing area, especially machining deformation. To address above issues, this paper presents meta-reinforcement learning model incorporated...
Abstract Transgene insertions might have unintended side effects on the transgenic host, both crop and hybrids with wild relatives that harbor transgenes. We employed proteomic approaches to assess protein abundance changes in seeds from Bt -transgenic oilseed rape ( Brassica napus ) its mustard B. juncea ). A total of 24, 15 34 spots matching 23, 13 31 unique genes were identified changed at least 1.5 fold (p < 0.05, Student’s t-test) between (tBN) non-transgenic (BN) rape, (BJ) × tBN...
In many real-world applications of monitoring multivariate spatio-temporal data that are non-stationary over time, one is often interested in detecting hot-spots with spatial sparsity and temporal consistency, instead system-wise changes as traditional statistical process control (SPC) literature. this paper, we propose an efficient method to detect through tensor decomposition, our has three steps. First, fit the observed into a Smooth Sparse Decomposition Tensor (SSD-Tensor) model serves...
To conduct post hoc analyses of the VERTIS CV (NCT01986881) trial to explore effects ertugliflozin on serum uric acid (UA) and gout-related outcomes.
Amid growing concerns regarding gout and hyperuricemia associated with high-protein purine-rich diets, the need for effective prevention management strategies minimal side effects has become increasingly critical. This study evaluates potential of three commonly consumed plant-based functional foods,
The simplification of 3D laser scanning point cloud is an important step surface reconstruction and volume estimation bulk grain in granary. This study presented adaptive algorithm based on particle swarm optimization (PSO). It introduced PSO into the average distance method, a conventional method. basic idea this was to adaptively determine optimal reducing intervals lines according original density by PSO. By using scanned from granary, proposed validated. Compared with obtained more...