Results 171 to 180 of about 104,523 (272)

Inoculation of Bacillus subtilis in acidic soil amended with biochar and liming materials in maize cultivation. [PDF]

Sci Rep
Diaz-Chuquizuta H, Coral-Cardenas SA, Arévalo-Aranda YG, Sánchez-Ojanasta M, Diaz-Chuquizuta P, Ocaña-Reyes JA, Solórzano Acosta RA, Cuevas Giménez JP.   +7 more
europepmc   +1 more source

Single‐Cell Transcriptomic Analysis Reveals Epithelial‐Mesenchymal Transition and Key Gene AGRN as a Universal Programme in Gastrointestinal Tumours by an Artificial Intelligence‐Derived Prognostic Index

Med Research, EarlyView.
Intra‐tumour heterogeneity is present in gastrointestinal tumours at the single‐cell level. Cell cycling, EMT, MYC and TNF‐α are the four main consensus meta‐programs in gastrointestinal tumours. Then, a prognostic model based on intratumoral heterogeneity was constructed using an artificial intelligence‐derived prognostic index.
Zhizhan Ni, Pengyuan Zhu, Liming Liu, Haiyang Wang, Jinzhe Zhou, Xianqing Wang, Song Wang, Liangchen Zhu, Songze Zhang, Yongxin Zhou, Bujun Ge, Qi Huang, Chenshen Huang   +12 more
wiley   +1 more source

Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery

Med Research, EarlyView.
The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu, Sanchit Arora, Dinesh Kumar, Ashish Kumar Agrawal   +3 more
wiley   +1 more source

The role of inflammatory cytokines and blood metabolites in osteoporosis: A Mendelian randomization study on pathways and therapeutic targets. [PDF]

Medicine (Baltimore)
Liu Y, Feng D, Jiang H, Tang F, Wu L, Mo S, Tao J.   +6 more
europepmc   +1 more source

Limes

, 2011
Limes are a great citrus fruit that adds a zest to many meals.
openaire   +1 more source

Simultaneous Removal of Copper, Lead, and Zinc From Water Using a Novel Magnetized Lippia javanica Biosorbent

Nano Select, EarlyView.
A novel magnetized Lippia javanica biosorbent is synthesized for efficient, simultaneous removal of Cu(II), Pb(II), and Zn(II) from water. This sustainable material exhibits high adsorption capacity, rapid magnetic separation, and excellent reusability over multiple cycles, demonstrating great potential for practical water purification applications ...
Philisiwe Nganaki Kunene, Precious Nokwethemba Mahlambi   +1 more
wiley   +1 more source

Pinguicula brendae (Lentibulariaceae) sp. nov., a carnivorous plant from a tropical montane cloud forest in Hidalgo, Mexico

Nordic Journal of Botany, EarlyView.
A new species of Lentibulariaceae, Pinguicula brendae Rodríguez‐Ramírez, H.Shimai & A.R. Andrés‐Hernández, is described based on its unique morphological characteristics. This species is restricted to limestone rock walls in the San Bartolo Tutotepec municipality, central‐eastern Hidalgo, Mexico, where it inhabits a single locality on vertical, north ...
Ernesto C. Rodríguez‐ Ramírez, Hiro Shimai, Agustina R. Andrés‐ Hernández   +2 more
wiley   +1 more source

Qihuang needle therapy improves Tourette syndrome: A case report. [PDF]

Medicine (Baltimore)
Tang Y, Liu X, Xu Z, Zhao M, Ding L, Lu L, Tang C, Jin B.   +7 more
europepmc   +1 more source

Arisaema siahaense sp. nov. (Araceae) from India

Nordic Journal of Botany, EarlyView.
A new species of Arisaema Mart. (Araceae) belonging to sect. Fimbriata is described and illustrated here from the Siaha District, Mizoram, India. This new species is characterized by an evergreen, dioecious herbaceous habit, up to 1.08 m high, having a subglobose tuber, with a solitary trifoliate leaf.
Rabishankar Sengupta, Sudhansu Sekhar Dash   +1 more
wiley   +1 more source

Opening the Black Box of Nonprofit Reputation and Volunteer Attraction With Supervised Machine Learning

Nonprofit Management and Leadership, EarlyView.
ABSTRACT With the aim to explore the potential of machine learning for nonprofit research, this article contrasts traditional linear regression with four contemporary supervised machine learning approaches. Concretely, we predict (1) reputation ratings and (2) the total number of volunteers for 4021 non‐profit organizations in the U.S.
Moritz Schmid, Hannes Lampe, Jurgen Willems   +2 more
wiley   +1 more source