Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile
Articles by Junnan Li
Self-Activated Nitric Oxide Nanogenerators Induce Cuproptosis via Regulating the Endogenous Copper Metabolism for Anti-PD-L1 Blockade Therapy
Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement The data that support the findings of this study are available from the corresponding author upon reasonable request. Supporting Information Filename Description smll76603-sup-0001-SuppMat.docx7.6 MB Supporting File 1: smll76603-sup-0001-SuppMat.docx. smll76603-sup-0002-SuppMat.txt284.6 KB Supporting File 2: smll76603-sup-0002-SuppMat.txt.
Potential distribution study of Caragana microphylla in China based on MaxEnt modeling
Abstract Climate, soil factors, and topography play a decisive role in the spatial distribution of species. Predicting the potential distribution of Caragana microphylla Lam. over time is of great significance for maintaining ecological balance, soil and water conservation, and evaluating ecological services in northwestern China. In this study, we used the Global Biodiversity Information Service (GBIF) and SDM Toolbox v2.5 to remove spatial autocorrelation from 103 occurrence records of C.
Computer Science > Hardware Architecture
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
PI-STGNN model-driven risk assessment method for leapfrog tripping in photovoltaic power plants
Abstract Unintended fault propagation in photovoltaic plants stems primarily from collector-line leapfrog tripping, a hazard characterized by multi-factor coupling, time-varying dynamics and hidden causal links that remain difficult to fully characterize under complex operating conditions.
Rational Design of Hyoscyamine 6β‐Hydroxylase for the Efficient Production of Scopolamine
Scopolamine is a medicinal tropane alkaloid used for motion sickness, analgesia and anaesthesia and as a precursor to tiotropium for COPD therapy (Srinivasan and Smolke 2020). Industrial production relies on natural plant sources that accumulate low levels of scopolamine, limiting supply. Increasing pathway efficiency through the engineering of key enzymes remains a major objective (Gong et al. 2022).
MoiraiAgent: An Agentic Framework for Context-Aware Time-Series Forecasting
Accurate forecasting is the backbone of strategic decision-making in everything from global finance to climate science. In an enterprise setting, it powers the early warning systems for telemetry, optimizes inventory through sales projections, and ensures operational efficiency via workforce capacity planning. Traditional time-series models typically rely on historical numerical data, identifying patterns like trends and seasonality to predict the future.
Fine-Tuning Time-Series Foundation Models on Business Data
Forecasting is critical to how many large organizations, including Salesforce, manage their global cloud infrastructure.. Reliable projections of compute, storage, usage, and cost help keep services available while controlling cloud infrastructure spend. At Salesforce, these patterns shift constantly as new regions launch, customers upgrade to Hyperforce, and usage evolves—making accurate forecasting both essential and difficult.
Beyond the Chat Window: How Computer Use Agents Are Learning to Click, Scroll, and Work
Most agents can respond to a prompt, but ask them to click a button in your enterprise software, and suddenly its limitations show. In the age of generative AI, everyone’s racing to build agents that don’t just respond to prompts, but actually do things. Send an email. Update a record. Navigate a dashboard. The dream, right? An intelligent assistant that uses your apps just like a human would, all clicks, scrolls, and savvy shortcuts.
MCP-Universe: A Comprehensive Framework for AI Agent Development and Benchmarking
The landscape of AI agent development has evolved rapidly, with developers needing robust frameworks to build, test, and benchmark intelligent systems. MCP-Universe emerges as a comprehensive solution, providing a modular framework designed around the Model Control Protocol (MCP) standard for developing, orchestrating, and evaluating AI agents at scale. Traditional AI agent development often suffers from fragmented tooling, inconsistent interfaces, and limited benchmarking capabilities.
Introducing Moirai 2.0
Time series forecasting plays a central role in data-driven decision making. Yet, adapting forecasting models across different domains and temporal resolutions often requires custom engineering. This increases both development and maintenance costs — especially for large-scale enterprise systems with many users and use cases.
Expression Profile of SPAG5 and Its Validation as a Prognostic Biomark
Back to Journals » Journal of Blood Medicine » Volume 16 Authors Yan X, Liu L, Li J, Zhang H, Wang L, Liu L Received 12 June 2025 Accepted for publication 3 November 2025 Published 11 November 2025 Volume 2025:16 Pages 523—536 DOI https://doi.org/10.2147/JBM.S546793 Checked for plagiarism Yes Review by Single anonymous peer review Peer reviewer comments 3 Editor who approved publication: Dr Martin H Bluth Xinyu Yan, Lanxiang Liu, Junnan Li, Hongbin Zhang, Li Wang, Lin Liu Department of...
RA-QoS: a robust autoencoder-based QoS predictor for highly accurate web service QoS prediction
With the growing number of web services such as online video platforms, online meeting apps, social media websites, and cloud computing applications, more and more web services are providing similar functionality. Moreover, with the vastness of the world and widespread internet adoption, web services may run on different client devices and operating systems.
[2505.05315] Scalable Chain of Thoughts via Elastic Reasoning
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
El giro ecológico de los museos industriales: un análisis comparativo entre Gran Bretaña y China
Ayuda Buscar en la ayuda Buscar en la ayuda El giro ecológico de los museos industriales: un análisis comparativo entre Gran Bretaña y China Jun Nan Li [1] ; Juan Manuel Cano Sanchiz [1] [1] Universidad de Ciencia y Tecnología de Pekín (China) Localización: Diferents: revista de museus, ISSN-e 2530-1330, Nº. 9, 2024, págs. 26-45 Idioma: español Títulos paralelos: The ecological turn of the industrial museums.
A Comparative Study of Clinical Characteristics and COVID-19 Vaccine E
Back to Journals » Infection and Drug Resistance » Volume 17 Authors Li J , Peng W, Zhang Y, Liu S, Han M, Song R, Zhang Y, Jin R, Wang X Received 12 August 2024 Accepted for publication 13 November 2024 Published 21 November 2024 Volume 2024:17 Pages 5147—5161 DOI https://doi.org/10.2147/IDR.S483098 Checked for plagiarism Yes Review by Single anonymous peer review Peer reviewer comments 5 Editor who approved publication: Professor Sandip Patil Junnan Li,1– 4,* Wenjuan Peng,1– 4,*...
Temporal changes in plasma metabolic signatures to predict immune response of antiretroviral therapy among people living with HIV
CONFLICT OF INTEREST STATEMENT The authors declare no conflicts of interest. Supporting Information Filename Description jmv29798-sup-0001-Supplementary_data.xlsx3.8 MB Supporting information. jmv29798-sup-0002-Supplementary_materials.docx4.4 MB Supporting information. REFERENCES 1. (2021). Global HIV & AIDS statistics. https://www.unaids.org/en/resources/fact-sheet 2, , , et al. Antiretroviral therapy for HIV infection in 1997. Updated recommendations of the International AIDS Society-USA panel. JAMA.
cTnI, early death, & severe fever with thrombocytopenia
Back to Journals » Infection and Drug Resistance » Volume 17 Authors Li J, Lin L, Peng W, Zhou W, Zhang L, Ji W, Ge Z, Lai J, Zhang W, Zhao Z, Duan J, Chen Z Received 11 March 2024 Accepted for publication 30 May 2024 Published 21 June 2024 Volume 2024:17 Pages 2579—2590 DOI https://doi.org/10.2147/IDR.S463251 Checked for plagiarism Yes Review by Single anonymous peer review Peer reviewer comments 3 Editor who approved publication: Dr Zhi Ruan Junnan Li,1,2,* Ling Lin,3,* Wenjuan...
Predicting os in elderly patients with cirrhotic HCC
Wenying Qiao,1– 5,* Shugui Sheng,1– 3,* Junnan Li,1– 3,* Ronghua Jin,1– 4 Caixia Hu5 1Beijing Key Laboratory of Emerging Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China; 2Beijing Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China; 3National Center for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic...
stabilityai/japanese-instructblip-alpha · Hugging Face
Model Details Japanese InstructBLIP Alpha is a vision-language instruction-following model that enables to generate Japanese descriptions for input images and optionally input texts such as questions.
CodeT5+: Open Code Large Language Models
May 20, 2023 • 8 min read TL;DR: CodeT5+ is a new family of open code large language models (LLMs) with improved model architectures and training techniques. CodeT5+ achieves the state-of-the-art performance among the open-source LLMs on many challenging code intelligence tasks, including zero-shot evaluation on the code generation benchmark HumanEval.
InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning
arXiv:2305.06500 (cs) [Submitted on 11 May 2023 (v1), last revised 15 Jun 2023 (this version, v2)] Download a PDF of the paper titled InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning, by Wenliang Dai and 8 other authors Download PDF Submission history From: Dongxu Li [ view email] [v1] Thu, 11 May 2023 00:38:10 UTC (7,738 KB) [v2] Thu, 15 Jun 2023 08:00:18 UTC (7,753 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Litmaps...
[2110.10048] Improving Tail-Class Representation with Centroid Contrastive Learning
arXiv:2110.10048 (cs) [Submitted on 19 Oct 2021 (v1), last revised 4 May 2023 (this version, v2)] Download a PDF of the paper titled Improving Tail-Class Representation with Centroid Contrastive Learning, by Anthony Meng Huat Tiong and 5 other authors Download PDF Submission history From: Anthony Meng Huat Tiong [ view email] [v1] Tue, 19 Oct 2021 15:24:48 UTC (4,588 KB) [v2] Thu, 4 May 2023 13:48:07 UTC (4,412 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer ()...
Hematological malignancies in Southwest China
Introduction Microbial Infection has been well documented as one of the most common complications for patients with hematological malignancies (HM) receiving chemotherapy or hematopoietic stem cell transplantation (HSCT) treatment.1 However, the latest systematic reviews focusing on hematological malignancies (HM) and microbial infection have illustrated that the bulk of clinical trials present incomplete information of infections without indicating the type of pathogens or source of...
[2212.02758] Tackling Data Heterogeneity in Federated Learning with Class Prototypes
[Submitted on 6 Dec 2022 ( v1 ), last revised 26 Dec 2023 (this version, v2)] Title:Tackling Data Heterogeneity in Federated Learning with Class Prototypes Download a PDF of the paper titled Tackling Data Heterogeneity in Federated Learning with Class Prototypes, by Yutong Dai and 5 other authors Download PDF HTML (experimental) Abstract:Data heterogeneity across clients in federated learning (FL) settings is a widely acknowledged challenge.
Prediction of late-onset fetal growth restriction by umbilical artery velocities at 37 weeks of gestation: a cross-sectional study
Results A total of 569 fetuses from singleton pregnancies were enrolled in our study, of which 39 (6.9%) had FGR, 57 (10.0%) were SGA and 473 (83.1%) were normal fetuses from singleton pregnancies. The maternal clinical and neonatal characteristics among the three groups are presented in table 1. The maternal height in the SGA group was the shortest among the three groups.
Emerging opportunities with metal-organic framework electrosynthetic platforms
No Access Chem. Phys. Rev. 3, 021306 (2022); https://doi.org/10.1063/5.0090147 The development of electrochemical technologies is becoming increasingly important due to their growing part in renewable energy conversion and storage. Within this context, metal organic frameworks (MOFs) are finding an important role as electrocatalysts. Specifically, their molecularly defined structure across several lengths scales endows them functionality not accessible with conventional heterogeneous catalysts.
Electrochemically driven C-N bond formation from CO2 and ammonia at the triple-phase boundary
Please wait while we load your content... Something went wrong. Try again?
Strategies for heterogeneous small-molecule electrosynthesis
Summary With an increasing global emphasis on renewable energy, electrosynthetic technologies stand to play a substantial role in generating the fuels and chemicals that power today’s society. While directions such as water electrolysis and CO2 directions have been heavily researched in the last decade, the scope of electrosynthesis can be greatly expanded to cover the full range of chemical targets that serve as building blocks for materials, pharmaceuticals, fertilizers, and more.
Probing electrosynthetic reactions with furfural on copper surfaces
Probing electrosynthetic reactions with furfural on copper surfaces† This work entails the integrated use of electrochemistry and operando Raman spectroscopy to probe the reduction of a biomass platform, furfural, to value-added chemicals on Cu electrodes. The results reveal key structural differences of the Cu that dictate selectivity for furfuryl alcohol or 2-methylfuran. You have access to this article Please wait while we load your content... Something went wrong. Try again?
Towards atomic precision in HMF and methane oxidation electrocatalysts
Towards atomic precision in HMF and methane oxidation electrocatalysts With the increasing emphasis on transitioning to a sustainable society, electrosynthetic routes to generate fuels and chemicals are rapidly gaining traction. While the electrolysis of water and CO2 has been heavily investigated over the last decade, electrocatalysis of other abundant resources such as biomass and methane is now increasingly coming into focus. As this area is relatively less mature, much work remains to be done.
Prototypical Contrastive Learning
In our study [1], we introduce a new unsupervised learning method that is able to train deep neural networks from millions of unlabeled images. Our method, Prototypical Contrastive Learning (PCL), unifies the two schools of unsupervised learning: clustering and contrastive learning.
High‐Performance Perovskite Light‐Emitting Diode with Enhanced Operational Stability Using Lithium Halide Passivation
Research Article Baoquan Sun Corresponding Author E-mail address: bqsun@suda.edu.cn Soochow University, FUNSOM, No. 199, Ren'ai Road, 215123 suzhou, CHINA Search for more papers by this author PDF PDF Share Abstract Defect passivation has been demonstrated to be effective in improving the radiative recombination of charge carriers in perovskites, and consequently device performance of the resultant perovskite light‐emitting diodes (LEDs).
Show More
loading
Actions
Is this you?
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Get in touch with Junnan
Contact Junnan, search articles and posts on X, monitor coverage, and track replies from one place.
Learn more about Muck Rack