Results 41 to 50 of about 84,677 (290)

Innovate Magazine / Annual Review 2009-2010 [PDF]

open access: yes, 2009
https://scholarworks.sjsu.edu/innovate/1002/thumbnail ...
San Jose State University
core   +2 more sources

MGM as a Large‐Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts

open access: yesAdvanced Science, EarlyView.
We present the Microbial General Model (MGM), a transformer‐based foundation model pretrained on over 260,000 microbiome samples. MGM learns contextualized microbial representations via self‐supervised language modeling, enabling robust transfer learning, cross‐regional generalization, keystone taxa discovery, and prompt‐guided generation of realistic,
Haohong Zhang   +5 more
wiley   +1 more source

Comparative Analysis of Random Forest and XGBoost Models for Cervical Cancer Risk Prediction using SHAP-based Explainable AI

open access: yesJournal of Applied Informatics and Computing
Cervical cancer remains one of the leading causes of cancer-related deaths among women, particularly in developing countries such as Indonesia. This study aims to develop an accurate and interpretable predictive model for cervical cancer risk using ...
Muhammad Agung Reza Yudha, Majid Rahardi
doaj   +1 more source

Conversion of Transplanted Mature Hepatocytes into Afp+ Reprogrammed Cells for Liver Regeneration After Injury

open access: yesAdvanced Science, EarlyView.
Donor‐derived tdTomato+ mature hepatocytes were FACS‐isolated and transplanted into Fah−/− host mice. During regeneration, these cells convert into proliferative, unipotent Afp+ rHeps. Their plasticity is governed by a PPARγ/AFP‐dependent metabolic switch, segregating into pro‐proliferative Afplow and pro‐survival Afphigh subpopulations.
Ting Fang   +12 more
wiley   +1 more source

OSL investigations at Hardisty, Alberta, Canada [PDF]

open access: yes, 2015
This report is concerned with optically stimulated luminescence (OSL) dating investigations of sediments associated with, and enclosing artefacts of First Nations historic significance in the Battle River Valley area, near Hardisty, east central ...
Kinnaird, Tim C.   +2 more
core   +4 more sources

Machine learning ensemble models for predicting the antibacterial efficacy of gold nanoparticles

open access: yesMaterials Research Express
Antimicrobial resistance (AMR) has been increasing rapidly, emerging as a major global health challenge. Gold nanoparticles (AuNPs) are promising antibacterial agents due to their biocompatibility, low toxicity, and ease of functionalization.
Priya Mary, A Mujeeb
doaj   +1 more source

The Role of Financial Markets in Predicting BIST Sustainability Index Performance: New Evidence from Hybrid Machine Learning Models

open access: yesEkonomi, Politika & Finans Araştırmaları Dergisi
The increasing importance of sustainable finance makes it critical to understand and accurately model the performance dynamics of investment instruments in this area. This study aims to forecast the return of the BIST Sustainability Index using financial
Zeynep Çolak
doaj   +1 more source

NanoLoop: A Deep Learning Framework Leveraging Nanopore Sequencing for Chromatin Loop Prediction

open access: yesAdvanced Science, EarlyView.
Chromatin loops are central to gene regulation and 3D genome organization. Leveraging Nanopore sequencing's ability to jointly capture DNA sequence and methylation, we present NanoLoop, the first framework for genome‐wide chromatin loop prediction using Nanopore data.
Wenjie Huang   +5 more
wiley   +1 more source

A Transparent AI-Driven Multiclass Decision Support System for Thyroid Risk Prediction Using Machine Learning and Deep Learning Approaches

open access: yesFoundations of Computing and Decision Sciences
Early and accurate diagnosis of thyroid disorders is essential due to their prevalence and health impact. To enhance interpretability in clinical settings, we propose a comprehensive workflow for transparent thyroid disease prediction using a multiclass ...
Ouartani Siouar, Taleb Nora
doaj   +1 more source

基于机器学习的GitHub企业影响力分析与预测

open access: yes智能科学与技术学报, 2023
企业影响力的高低不仅关系到其行业竞争力,也影响着其社会声誉和未来发展,然而对企业影响力的评价一直没有统一的标准。GitHub是一个代表性的软件开发代码存储库开源平台,现有研究通常使用企业在GitHub发布的项目得到的star总数衡量其影响力高低,但是这种方式难以衡量小微企业和新生企业的潜力。通过引入科学家的影响力衡量指标h指数,以GitHub为信息源进行企业网络建模,同时基于该网络提取特征构建分类器,对企业未来的影响力水平进行预测。在此基础上应用SHAP模型解释技术,判别决定企业影响力的重要特征 ...
王明宇, 宫庆媛, 瞿晶晶, 王新
doaj   +1 more source

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