Results 211 to 220 of about 88,237 (314)

A spatiotemporal single‐cell atlas of porcine development reveals regulatory dynamics and cellular targets of domestication

iMeta, EarlyView.
This study presents a cross‐tissue, single‐cell/single‐nucleus transcriptomic atlas spanning from prenatal to postnatal developmental stages in pig, characterizing 83 distinct cell types from 252,033 cells. Through the construction of cross‐tissue transcriptional regulatory networks and pseudotime trajectories, we revealed that organogenesis is driven ...
Rong Zhou, Zishuai Wang, Chenghao Hu, Shuhan Deng, Changyun Cai, Yanfang Wang, Shang‐Tong Li, Lijing Bai, Kui Li   +8 more
wiley   +1 more source

Plant stress early detection through a low-cost multispectral device: Toward safer and more sustainable agricultural practices. [PDF]

iScience
Lauretti C, Cimini S, Zompanti A, Tamantini C, Pizziconi B, Piemontese M, Pennazza G, Santonico M, De Gara L, Zollo L.   +9 more
europepmc   +1 more source

Polymer informatics: Integrating data‐driven strategies, advanced machine learning, and automated synthesis for next‐generation polymer design

InfoScience, EarlyView.
Designing new polymers for applications such as sustainable plastics, biomaterials, and 3D printing has traditionally been slow and expensive, relying heavily on trial‐and‐error experiments. This review shows how polymer informatics—the integration of large polymer databases, machine‐learning models, and automated robotic synthesis—enables fast ...
Md. Saiful Islam, Tamanna Hoque, Junied Islam Shuvo, Sheta Roy Tori, Sadit Bihongo Malitha, Md. Zahangir Alam, A. M. Sarwaruddin Chowdhury   +6 more
wiley   +1 more source

An interpretable machine learning model for predicting symptomatic pelvic lymphocele after pelvic lymphadenectomy in cervical cancer. [PDF]

Front Oncol
Wang Y, Tang N, Zhang W, Zeng Y.
europepmc   +1 more source

Machine Learning‐Based Estimation of Reference Evapotranspiration and Crop Coefficients for Wheat Under Diverse Climatic Conditions

Irrigation and Drainage, EarlyView.
ABSTRACT Accurate estimation of reference evapotranspiration (ET0) and crop coefficients (Kc) is critical for irrigation planning, particularly in data‐limited regions where agriculture dominates freshwater consumption. Although machine learning (ML) methods have been widely applied to ET0 and Kc estimation, most studies address these parameters ...
Ilker Angin, Hasan Er, Mete Yaganoglu, Muhammed Sungur Demir, Abdullah Muratoglu   +4 more
wiley   +1 more source

Automatic Infant Movement Assessment Using Pose-LBP Features and a Cost-Sensitive Subspace kNN Ensemble. [PDF]

Bioengineering (Basel)
Ari A, Atalan Efkere P, Çangur EY, Uzun Akkaya K, Gurler Ari B, Elbasan B, Sengur A, Tian Y.   +7 more
europepmc   +1 more source

Dopamine Transporter Imaging‐Based Radiomics for Predicting 4‐Year Motor Progression (Unified Parkinson's Disease Rating Scale Part III) in Parkinson's Disease

iRADIOLOGY, EarlyView.
Magnetic resonance imaging (MRI)‐guided dopamine transporter (DAT) radiomics combined with machine learning showed promising performance for predicting 4‐year motor progression in Parkinson's disease. Ensemble voting fusion markedly improved discrimination compared with individual base models, with stable predictive features mainly derived from ...
Xiaoxuan Fan, Yanghan Chen, Junfeng Lin, Zenwen Han, Jianqiang Ye, Lili Lin, Hong Zhang, Ang Li, Han Jiang   +8 more
wiley   +1 more source

Human Motion Segmentation via Spatiotemporally Dual-Constrained Density Estimation with Commodity Wi-Fi Device. [PDF]

Sensors (Basel)
Wang X, Zhang L, Shu F.
europepmc   +1 more source

Predicting Household Food Insecurity Through a Livelihood lens: A Machine Learning Approach in Rural Colombia

Journal of International Development, EarlyView.
ABSTRACT Food insecurity remains a persistent challenge in rural Colombia, driven by structural inequalities, livelihood constraints and exposure to shocks. This paper examined the determinants and predictive drivers of household food insecurity using nationally representative data from the Food and Agriculture Organisation (FAO) Data in Emergencies ...
Adrino Mazenda
wiley   +1 more source