Yinqiang Zhang

BIM-Loc: BIM-integrated discrepancy-aware LiDAR-based indoor localization

Yinqiang Zhang, Lu Liang, Yipeng Pan, Maolin Lei et autres

Accurate and robust localization is a fundamental requirement for service and inspection robots, particularly in feature-sparse indoor environments where traditional systems struggle due to a lack of distinct landmarks. While prior maps can enhance robustness, precise and compact maps capturing real-world details …

hk, it (code pays fourni par la source)

BIM-Loc: BIM-Integrated Discrepancy-Aware LiDAR-based Indoor Localization

Yinqiang Zhang, Liang Lu, Yipeng Pan, Maolin Lei et autres

Accurate and robust localization is a fundamental requirement for service and inspection robots, particularly in feature-sparse indoor environments where traditional systems struggle due to a lack of distinct landmarks. While prior maps can enhance robustness, precise and compact maps capturing real-world details …

Random Forest Model for Predicting Post-Lockdown Antenatal Depression Risk: A Cross-Sectional Study of Pregnant Women in China

Yijin Pan, Hai Lin, Takae Hirono, Yifan Yang et autres

Abstract Background As lockdown measures was eased, pregnant women faced an elevated risk of COVID-19 infection, potentially impacting their mental health. This study aimed to investigate the prevalence of antenatal depression (AD) post-lockdown and develop predictive models for AD risk using machine …

cn (code pays fourni par la source)

The international and domestic research trends of targeted therapy in bladder cancer: a bibliometric analysis of the past three decades

Yijin Pan, Yu Sun, Binbin Jiao, Yinqiang Zhang et autres

Introduction With the rapid development of molecular biotechnology and in-depth exploration of bladder cancer (BC) oncogenic mechanisms, targeted therapy has emerged as a pivotal treatment modality for BC patients. This study employed bibliometric methods to analyze the research status and development trends …

cn (code pays fourni par la source)

ConsistNav: Closing the Action Consistency Gap in Zero-Shot Object Navigation with Semantic Executive Control

Haosen Wang, Zhenyang Li, Yinqiang Zhang, Zongqi He et autres

Zero-shot object navigation has advanced rapidly with open-vocabulary detectors, image--text models, and language-guided exploration. However, even after current methods detect a plausible target hypothesis, the agent may still oscillate between exploration and pursuit, or abandon the object near success. We identify this …

ConsistNav: Closing the Action Consistency Gap in Zero-Shot Object Navigation with Semantic Executive Control

Haosen Wang, Zhenyang Li, Yinqiang Zhang, Zongqi He et autres

Zero-shot object navigation has advanced rapidly with open-vocabulary detectors, image--text models, and language-guided exploration. However, even after current methods detect a plausible target hypothesis, the agent may still oscillate between exploration and pursuit, or abandon the object near success. We identify this …

us, hk, tw, cn (code pays fourni par la source)

Modeling and prediction of biogas production based on feature selection and SRG-GRU for anaerobic digestion process

Shipin Yang, Yuqiao Cai, Yinqiang Zhang, Wenhua Jiao et autres

cn (code pays fourni par la source)

Semantic2D: Enabling Semantic Scene Understanding with 2D Lidar Alone: Dataset

Zhanteng Xie, Yipeng PAN, Yinqiang Zhang, Jia PAN et autres

# Semantic2D Dataset A 2D lidar semantic segmentation dataset for mobile robotics applications. This is the first publicly available 2D lidar semantic segmentation dataset, featuring point-wise annotations for nine indoor object categories across twelve distinct environments. **Associated Paper:** *Semantic2D: Enabling Semantic Scene …

us, hk (code pays fourni par la source)

Orbital-Tailored Pt Sites via Atomic-Level Carrier Pre-Design for Enhanced Photocatalytic Hydrogen Evolution

Xinghao Zhang, Hui Jiao, Yutong Wang, Hanxi Li et autres

Modulating the coordination geometry of single atoms (SAs) is crucial for overcoming the limitations in catalytic activity. This study aims to construct a clear relationship between the coordination geometry of Pt SAs and their catalytic activity to guide the synthesis of targeted …

cn, cz, my (code pays fourni par la source)

Lipo-MIT-based bridging therapy enables effective CAR-T treatment in high-risk relapsed or refractory B-cell lymphoma

Yun Jin Kang, Danying Liao, Wei Xie, Lin Liu et autres

Abstract Background: Chimeric antigen receptor (CAR)-T cell therapy has significantly improved outcomes for relapsed or refractory (R/R) B-cell lymphoma. However, high tumor burden and bulky disease are risk factors of poor prognosis and severe adverse effects (AEs). Bridging therapy (BT) aims to …

hk, cn (code pays fourni par la source)

Bendamustine combined with fludarabine/cyclophosphamide as a enhanced lymphodepletion regimen demonstrates favorable efficacy and safety in CAR-T therapy for extranodal/bulky R/R B-cell lymphoma

Cong Lu, Danying Liao, Lin Liu, Wei Xie et autres

Abstract Introduction： Bulky disease has been identified as an independent predictor of poor outcomes following CAR-T therapy. Although lymphodepletion (LD) critically affects CAR-T cell functionality and treatment response, its clinical significance remains undervalued, with no established protocols for standardized regimens. While bendamustine …

hk, cn (code pays fourni par la source)

Favorable Outcomes of Bridging Glofitamab Prior to anti-CD19 CAR-T cell Therapy in patients with non-Hodgkin lymphoma

Yinqiang Zhang, Lin Liu, Li Su, Qiaolin Liu et autres

Abstract Introduction: Chimeric antigen receptor (CAR) T-cells have improved outcomes of patients (pts) with relapsed/refractory Non-Hodgkin Lymphoma (R/R NHL). However, 20% to 40% of those pts did not benefit from CAR-T therapies according to real-world study. Glofitamab, a CD20xCD3 bispecific antibody, was …

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