839 research outputs found
sj-pdf-1-imr-10.1177_03000605211060890 - Supplemental material for Evaluation of efficacy and safety of improved transurethral plasma kinetic enucleation of the prostate in high-risk patients with benign prostatic hyperplasia and coronary artery disease
No full textSupplemental material, sj-pdf-1-imr-10.1177_03000605211060890 for Evaluation of efficacy and safety of improved transurethral plasma kinetic enucleation of the prostate in high-risk patients with benign prostatic hyperplasia and coronary artery disease by Qingchao Meng, Jingmei Li, Mingfeng Li and Rangxue Qiu in Journal of International Medical Research</p
sj-pdf-1-imr-10.1177_03000605211044045 - Supplemental material for Cerebral infarction caused by systemic sclerosis: a case report
No full textSupplemental material, sj-pdf-1-imr-10.1177_03000605211044045 for Cerebral infarction caused by systemic sclerosis: a case report by Qingqing Wang, Mengen Zhang, Mingfeng Zhai and Zongyou Li in Journal of International Medical Research</p
sj-pdf-2-imr-10.1177_03000605211044045 - Supplemental material for Cerebral infarction caused by systemic sclerosis: a case report
No full textSupplemental material, sj-pdf-2-imr-10.1177_03000605211044045 for Cerebral infarction caused by systemic sclerosis: a case report by Qingqing Wang, Mengen Zhang, Mingfeng Zhai and Zongyou Li in Journal of International Medical Research</p
Assessing the Energy Impacts of Cyberattacks on Low-Level Automated Vehicles
No full textIn this study, we investigate the potential impact of stealthy cyberattacks on automated or partially automated vehicles, and consider how they will influence traffic flow and fuel consumption. Specifically, we define stealthy cyberattacks on automated vehicles where driving behavior deviates only slightly from normal driving behavior. We use simulation analysis to consider different cyberattacks, and investigate their impact on traffic flow and aggregate fuel consumption of all vehicles in the traffic flow. We find that such attacks, while difficult to detect, may substantially degrade traffic flow, and, to a lesser extent, vehicle emissions across the traffic flow.Stern, Raphael; Li, Tianyi; Rosenblad, Benjamin; Shang, Mingfeng. (2023). Assessing the Energy Impacts of Cyberattacks on Low-Level Automated Vehicles. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/257885
sj-xlsx-3-jbm-10.1177_03936155221095574 - Supplemental material for Correlation of KMT2 family mutations with molecular characteristics and prognosis in colorectal cancer
No full textSupplemental material, sj-xlsx-3-jbm-10.1177_03936155221095574 for Correlation of KMT2 family mutations with molecular characteristics and prognosis in colorectal cancer by Cun Liao, Wei Huang, Minglin Lin, Hui Li, Zihan Zhang, Xiaolong Zhang, Rongrong Chen, Mingfeng Huang, Pengli Yu and Sen Zhang in The International Journal of Biological Markers</p
sj-xlsx-2-jbm-10.1177_03936155221095574 - Supplemental material for Correlation of KMT2 family mutations with molecular characteristics and prognosis in colorectal cancer
No full textSupplemental material, sj-xlsx-2-jbm-10.1177_03936155221095574 for Correlation of KMT2 family mutations with molecular characteristics and prognosis in colorectal cancer by Cun Liao, Wei Huang, Minglin Lin, Hui Li, Zihan Zhang, Xiaolong Zhang, Rongrong Chen, Mingfeng Huang, Pengli Yu and Sen Zhang in The International Journal of Biological Markers</p
sj-docx-4-jbm-10.1177_03936155221095574 - Supplemental material for Correlation of KMT2 family mutations with molecular characteristics and prognosis in colorectal cancer
No full textSupplemental material, sj-docx-4-jbm-10.1177_03936155221095574 for Correlation of KMT2 family mutations with molecular characteristics and prognosis in colorectal cancer by Cun Liao, Wei Huang, Minglin Lin, Hui Li, Zihan Zhang, Xiaolong Zhang, Rongrong Chen, Mingfeng Huang, Pengli Yu and Sen Zhang in The International Journal of Biological Markers</p
sj-jpg-1-jbm-10.1177_03936155221095574 - Supplemental material for Correlation of KMT2 family mutations with molecular characteristics and prognosis in colorectal cancer
No full textSupplemental material, sj-jpg-1-jbm-10.1177_03936155221095574 for Correlation of KMT2 family mutations with molecular characteristics and prognosis in colorectal cancer by Cun Liao, Wei Huang, Minglin Lin, Hui Li, Zihan Zhang, Xiaolong Zhang, Rongrong Chen, Mingfeng Huang, Pengli Yu and Sen Zhang in The International Journal of Biological Markers</p
Hot off the Press: Runtime Analysis for State-of-the-Art Multi-objective Evolutionary Algorithms on the Subset Selection Problem
No full textThis paper for the hot-off-the-press track at GECCO 2025 summarizes the work Renzhong Deng, Weijie Zheng, Mingfeng Li, Jie Liu, and Benjamin Doerr: Runtime analysis for state-of-the-art multi-objective evolutionary algorithms on the subset selection problem. Parallel Problem Solving from Nature, PPSN 2024. Springer, 264–279. 10.1007/978-3-031-70071-2_17 [8].International audienceIn the last few years, the mathematical runtime analysis of randomized search heuristics has made a huge step forward by analyzing the most prominent multi-objective evolutionary algorithms (MOEAs). These results confirmed that many previous results for synthetic MOEAs extend to state-of-the-art MOEAs, but also exhibited some unexpected difficulties not seen with simple MOEAs. We continue this line of research by analyzing how the NSGA-II and the SMS-EMOA (also with a recently proposed stochastic population update) solve the NP-hard subset selection problem. For these two state-of-the-art algorithms, we prove performance guarantees that agree with those previously shown for the POSS algorithm, a variant of the simplistic GSEMO, namely that they compute (1 - e-γ)-approximate solutions in expected time O(kn). Our experiments confirm these findings. This work is the first runtime analysis of state-of-the-art MOEAs for the subset selection problem, and also the first runtime analysis of SMS-EMOA on a combinatorial problem
sj-docx-1-cll-10.1177_09636897221102902 – Supplemental material for Clinical Characteristics and Outcome Analysis for HLA Loss Patients Following Partially Mismatched Related Donor Transplantation Using HLA Chimerism for Loss of Heterozygosity Analysis by Next-Generation Sequencing
No full textSupplemental material, sj-docx-1-cll-10.1177_09636897221102902 for Clinical Characteristics and Outcome Analysis for HLA Loss Patients Following Partially Mismatched Related Donor Transplantation Using HLA Chimerism for Loss of Heterozygosity Analysis by Next-Generation Sequencing by Andi Wang, Wenjun Li, Fei Zhao, Zhongzheng Zheng, Ting Yang, Sanbin Wang, Jinsong Yan, Jianpin Lan, Shengjin Fan, Mingfeng Zhao, Jianpin Shen, Xin Li, Tonghua Yang, Quanyi Lu, Ying Lu, Hai Bai, Haiyan Zhang, Dali Cai, Ling Wang, Zhiyang Yuan, Erlie Jiang, Fang Zhou and Xianmin Song in Cell Transplantation</p
- …
