Explanipedia

Aluminum‐Rich Molecular Sieve Interface Regulating Electron‐Enriched Mn‐O‐Ce Active Sites for Environmental Catalysis Open

Dengchao Peng, Fuli Wang, Yongjie Shen, Wenqiang Qu, Yanqi Chen , et al. · 2025

The improvement of low‐temperature catalytic activity still remains a paramount scientific challenge in environmental catalysis. To address this issue, an aluminum‐rich molecular sieve interface regulating electron‐enriched Mn‐O‐Ce active …

Cu–Ce Dual–Atom Sites Embedded in Zeolites Boost Resistance to Impurity Interference for Environmental Catalysis Open

Yanqi Chen, Penglu Wang, Wenqiang Qu, Yongjie Shen, Ya Tang , et al. · 2025

Biodiesel, a carbon‐neutral alternative to fossil fuels, plays a vital role in decarbonizing transportation, with global production exceeding 40 million tons annually. However, its widespread use introduces elevated phosphorus and metal ca…

Cu–Ce Dual–Atom Sites Embedded in Zeolites Boost Resistance to Impurity Interference for Environmental Catalysis Open

Yanqi Chen, Penglu Wang, Wenqiang Qu, Yongjie Shen, Ya Tang , et al. · 2025

Biodiesel, a carbon‐neutral alternative to fossil fuels, plays a vital role in decarbonizing transportation, with global production exceeding 40 million tons annually. However, its widespread use introduces elevated phosphorus and metal ca…

T-PGI: an engineered STITCHR system for scarless, programmable genome integration Open

Joo‐Hyung Lee, Jonathan D. Finn, Sandeep Kumar, K. Daneshvar, Yizhao Ni , et al. · 2025

Scarless, programmable insertion of defined DNA remains a central goal for therapeutic genome editing. We introduce T-PGI (Transposon-mediated programmable genomic integration), an engineered implementation of STITCHR that preserves target…

Nursing effects of intermittent pneumatic compression pump combined with enteral nutrition support in lower extremity deep venous thrombosis after orthopedic surgery Open

Yizhao Ni, Yanke Wang, Qiushan Qing · 2025

Objective It aimed to explore the nursing effect of intermittent pneumatic compression pump (IPC) plus enteral nutrition support (ENS) in the prevention of deep venous thrombosis (DVT) in lower limbs of patients after orthopedic surgery (O…

Pangu Ultra MoE: How to Train Your Big MoE on Ascend NPUs Open

Yehui Tang, Yichun Yin, Yaoyuan Wang, Hang Zhou, Yu Pan , et al. · 2025

Sparse large language models (LLMs) with Mixture of Experts (MoE) and close to a trillion parameters are dominating the realm of most capable language models. However, the massive model scale poses significant challenges for the underlying…

Length Estimation of Pneumatic Artificial Muscle with Optical Fiber Sensor Using Machine Learning Open

Yizhao Ni, Shuichi Wakimoto, Weihang Tian, Yuichiro Toda, Takefumi Kanda , et al. · 2025

A McKibben artificial muscle is a soft actuator driven by air pressure, characterized by its flexibility, lightweight design, and high power-to-weight ratio. We have developed a smart artificial muscle that is capable of sensing its motion…

Automating Endoscopic Scoring Through Artificial Intelligence Open

Nicholas K. Denson, James Reigle, Julia Smith, David H. Bruining, Yizhao Ni , et al. · 2025

Effects of Online Medical Teams on Patients’ Choices for Doctor Selection: A Hybrid Deep Learning Framework Open

Yizhao Ni, Donghui Yang · 2025

Enhancement of physicochemical and techno-functional properties of soy protein isolate amyloid fibrils by moderate ultrasonic pretreatment Open

Yizhao Ni, Tianyi Yan, Kai Fu, Congyi Xu, Liang Zhang , et al. · 2024

FLAIR vascular hyperintensity is associated with functional outcome in patients with ischemic stroke receiving endovascular treatment: a meta-analysis Open

Chunyan Wang, Chuanliu Wang, Yizhao Ni · 2024

Background Fluid-attenuated inversion recovery (FLAIR) vascular hyperintensity (FVH) might be useful for predicting and functional outcome in ischemic stroke patients after endovascular thrombectomy (EVT), but its clinical benefit remains …

Research on Emotional Expression in Ancient Poetry Based on Sentiment Analysis Open

Qianqian Ni, Yizhao Ni · 2024

Social-environmental phenotypes of rapid cystic fibrosis lung disease progression in adolescents and young adults living in the United States Open

Anushka Palipana, Andrew Vancil, Emrah Gecili, Erika Rasnick, Daniel J. Ehrlich , et al. · 2023

Built environment factors predictive of early rapid lung function decline in cystic fibrosis Open

Emrah Gecili, Cole Brokamp, Erika Rasnick, Pedro Miranda Afonso, Eleni‐Rosalina Andrinopoulou , et al. · 2023

Background The extent to which environmental exposures and community characteristics of the built environment collectively predict rapid lung function decline, during adolescence and early adulthood in cystic fibrosis (CF), has not been ex…

Evaluation of the portability of computable phenotypes with natural language processing in the eMERGE network Open

Jennifer A. Pacheco, Luke V. Rasmussen, Ken Wiley, Thomas N. Person, David Cronkite , et al. · 2023

Implementation of Machine Learning Pipelines for Clinical Practice: Development and Validation Study Open

Lara J Kanbar, Benjamin D. Wissel, Yizhao Ni, Nathan M. Pajor, Tracy A. Glauser , et al. · 2022

Background Artificial intelligence (AI) technologies, such as machine learning and natural language processing, have the potential to provide new insights into complex health data. Although powerful, these algorithms rarely move from exper…

Using deep learning and electronic health records to detect Noonan syndrome in pediatric patients Open

Zeyu Yang, Amy Shikany, Yizhao Ni, Ge Zhang, K. Nicole Weaver , et al. · 2022

The results suggested the validity of using text-based deep learning methods to analyze EHR and showed the value of this approach as a potential tool to identify patients with features of rare diseases. Given the paucity of medical genetic…

User-Centered Evaluation of a Visual Annotation Tool for Rapid Assessment of Pediatric Weight Entry Errors Open

Danny T Y Wu, Pieter-Jan Van Camp, Abraham Kim, Milan Parikh, Lei Liu , et al. · 2022

Weight entry errors can cause significant patient harm in pediatrics due to pervasive weight-based dosing practices. While computerized algorithms can assist in error detection, they have not achieved high sensitivity and specificity to be…

Gross motor function prediction using natural language processing in cerebral palsy Open

Kelly Greve, Yizhao Ni, Amy F. Bailes, Jilda Vargus‐Adams, Aimee E. Miley , et al. · 2022

Aim To predict ambulatory status and Gross Motor Function Classification System (GMFCS) levels in patients with cerebral palsy (CP) by applying natural language processing (NLP) to electronic health record (EHR) clinical notes. Method Indi…

Implementation of Machine Learning Pipelines for Clinical Practice (Preprint) Open

Lara J Kanbar, Benjamin D. Wissel, Yizhao Ni, Nathan M. Pajor, Tracy A. Glauser , et al. · 2022

UNSTRUCTURED Artificial Intelligence (AI) technologies, such as machine learning and natural language processing, have the potential to provide new insights into complex health data. While powerful, these algorithms rarely move from exper…

External validation and comparison of risk score models in pediatric heart transplants Open

Alia Dani, Justin S. Heidel, Tingting Qiu, Yin Zhang, Yizhao Ni , et al. · 2021

Background Pediatric heart transplant (PHT) patients have the highest waitlist mortality of solid organ transplants, yet more than 40% of viable hearts are unutilized. A tool for risk prediction could impact these outcomes. This study aime…

Machine Learning for Detection of Correct Peripherally Inserted Central Catheter Tip Position from Radiology Reports in Infants Open

Manan Shah, Derek Shu, V. B. Surya Prasath, Yizhao Ni, Andrew H. Schapiro , et al. · 2021

Background In critically ill infants, the position of a peripherally inserted central catheter (PICC) must be confirmed frequently, as the tip may move from its original position and run the risk of hyperosmolar vascular damage or extravas…

Quantitative disease risk scores from EHR with applications to clinical risk stratification and genetic studies Open

Danqing Xu, Chen Wang, Atlas Khan, Ning Shang, Zihuai He , et al. · 2021

Labeling clinical data from electronic health records (EHR) in health systems requires extensive knowledge of human expert, and painstaking review by clinicians. Furthermore, existing phenotyping algorithms are not uniformly applied across…

Understanding Pediatric Surgery Cancellation: Geospatial Analysis Open

Lei Liu, Yizhao Ni, Andrew F. Beck, Cole Brokamp, Ryan Ramphul , et al. · 2021

Background Day-of-surgery cancellation (DoSC) represents a substantial wastage of hospital resources and can cause significant inconvenience to patients and families. Cancellation is reported to impact between 2% and 20% of the 50 million …

Automated detection of substance use information from electronic health records for a pediatric population Open

Yizhao Ni, Alycia Bachtel, Katie Nause, Sarah J. Beal · 2021

Objective Substance use screening in adolescence is unstandardized and often documented in clinical notes, rather than in structured electronic health records (EHRs). The objective of this study was to integrate logic rules with state-of-t…

DeepImmuno: deep learning-empowered prediction and generation of immunogenic peptides for T-cell immunity Open

Guangyuan Li, Balaji Iyer, V. B. Surya Prasath, Yizhao Ni, Nathan Salomonis · 2021

Cytolytic T-cells play an essential role in the adaptive immune system by seeking out, binding and killing cells that present foreign antigens on their surface. An improved understanding of T-cell immunity will greatly aid in the developme…

Seasonal variation of lung function in cystic fibrosis: Longitudinal modeling to compare a Midwest US cohort to international populations Open

Emrah Gecili, Cole Brokamp, Anushka Palipana, Rui Huang, Eleni‐Rosalina Andrinopoulou , et al. · 2021

Development and Evaluation of an Automated Approach to Detect Weight Abnormalities in Pediatric Weight Charts. Open

Lei Liu, Danny T Y Wu, S. Andrew Spooner, Yizhao Ni · 2021

Inaccurate body weight measures can cause critical safety events in clinical settings as well as hindering utilization of clinical data for retrospective research. This study focused on developing a machine learning-based automated weight …

Seasonality, mediation and comparison (SMAC) methods to identify influences on lung function decline Open

Emrah Gecili, Anushka Palipana, Cole Brokamp, Rui Huang, Eleni‐Rosalina Andrinopoulou , et al. · 2021

This study develops a comprehensive method to assess seasonal influences on a longitudinal marker and compare estimates between cohorts. The method extends existing approaches by (i) combining a sine-cosine model of seasonality with a spec…

DeepImmuno: Deep learning-empowered prediction and generation of immunogenic peptides for T cell immunity Open

Guangyuan Li, Balaji Iyer, V. B. Surya Prasath, Yizhao Ni, Nathan Salomonis · 2020

T-cells play an essential role in the adaptive immune system by seeking out, binding and destroying foreign antigens presented on the cell surface of diseased cells. An improved understanding of T-cell immunity will greatly aid in the deve…

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