Results 201 to 210 of about 160,222 (305)

Isolation of toxigenic <i>Corynebacterium diphtheriae</i> from cutaneous lesions in a donkey in Ontario, Canada, 2024: Implications for zoonotic disease transmission and One Health approach. [PDF]

Can Commun Dis Rep
Okechukwu C, Rebellato S, Pitfield H, Magnusson K, Sereshk R, Slavic D, McClinchey H, Wilson S, Kus J, Lee C.   +9 more
europepmc   +1 more source

Plant Genetic Engineering: Technological Pathways, Application Scenarios, and Future Directions

Advanced Science, EarlyView.
This review maps the fast‐evolving landscape of plant genetic engineering, linking enabling platforms with trait‐focused applications in architecture optimization, stress resilience, yield improvement, and quality enhancement. It highlights how genome editing, transgenic strategies, and emerging multi‐gene approaches reshape breeding pipelines, while ...
Peilin Wang, Wenzhi Wang, Dongjiao Wang, Qibin Wu, Youxiong Que   +4 more
wiley   +1 more source

Fortified Espresso Coffee With Essential Oils: Compositional Analysis, Matrix Stability, and Antimicrobial Performance. [PDF]

Int J Food Sci
Oblitas-Delgado R, Mori-Vigo S, Quispe-Sanchez L, Medina-Bocanegra D, Mena-Chacon LM, Meléndez-Mori JB, Huaman E, Yoplac I, Chavez SG, Oliva-Cruz M.   +9 more
europepmc   +1 more source

Natural Variation of NAR5 Determines Nitrogenase Activity and the Yield in Soybean

Advanced Science, EarlyView.
This study identified NAR5, a gene encoding a subtilisin‐like protease, that regulates nitrogenase activity in soybean nodules. Overexpressing NAR5 delayed nodule senescence, enhancing nitrogenase activity, yield, and low‐nitrogen tolerance. The elite haplotype NAR5HapI‐1 linked to superior nitrogenase activity and greater seed weight has been ...
Chao Ma, Hanyu Zhao, Haojie Feng, Xulun Dong, Lin Chen, Mingliang Yang, Runyi Chen, Chengjun Lei, Chunyan Liu, Qingshan Chen, Dawei Xin, Jinhui Wang   +11 more
wiley   +1 more source

Maximizing multi-source data integration and minimizing the parameters for greenhouse tomato crop water requirement prediction. [PDF]

Sci Rep
Lv X, Li Y, Zhangzhong L, Tong C, Wei Y, Li G, Yang Y.   +6 more
europepmc   +1 more source

Machine‐Learning Microfluidic Minute‐Scale Microorganism Metrics Monitoring(M6)

Advanced Science, EarlyView.
ABSTRACT On‐site monitoring of microorganisms remains challenging because of low concentrations, strong background interference, and dynamic aerosol diffusion, particularly for aerosol‐transmitted pathogens. Here, we report a rapid detection platform that integrates a Puri‐focusing microfluidic chip, electrochemical impedance spectroscopy (EIS), and ...
Ning Yang, Jiahao Ding, Si Chen, Lijie Yan, Shichao Ding, Lavonda Li, Junyi Sun, Haodong Liu, Tongge Li, Ning Liu, Mingji Wei, Xiaoyong Zhu, Xiaobo Zou, Shouqi Yuan, Xingcai Zhang   +14 more
wiley   +1 more source

Rice price volatility and dietary diversity in Bangladeshi farm households: panel data evidence. [PDF]

Front Nutr
Mastura T, Alam MJ, Begum IA, Iqbal MA, McKenzie AM.   +4 more
europepmc   +1 more source

Recent Advances in Laser‐Induced Graphene‐Based Gas Sensors: From Sensing Mechanisms to Biomedical Applications

Advanced Science, EarlyView.
Laser‐induced graphene (LIG) provides a scalable, laser‐direct‐written route to porous graphene architecture with tunable chemistry and defect density. Through heterojunction engineering, catalytic functionalization, and intrinsic self‐heating, LIG achieves highly sensitive and selective detection of NOX, NH3, H2, and humidity, supporting next ...
Md Abu Sayeed Biswas, Ankan Dutta, Shuvendu Das, Abu Musa Abdullah, Wanqing Zhang, Fatema Tuz Zohra, Huanyu Cheng   +6 more
wiley   +1 more source

Nano- and Microstructured Systems for Controlled Release of Agricultural Inputs: Innovations for Efficiency and Sustainability. [PDF]

J Agric Food Chem
Rosa ART, do Valle RF, da Silva MV, Perini HF, Oliveira CJF, Rosa RC, Shimano AC, Silva ACA, Silva ACA, de Morais LC.   +9 more
europepmc   +1 more source

Multi‐Scale Mapping of Gene Expression from Whole‐slide Images for Identifying Phenotype‐Associated Subpopulations

Advanced Science, EarlyView.
BiSCALE: A pathology‐driven deep learning framework for multi‐scale gene expression prediction from whole‐slide images. It accurately infers bulk and near‐cellular spot‐level expression, links predictions to clinical phenotypes, identifies disease‐associated niches, and enables applications in risk stratification and cell‐identity annotation, providing
Hailong Zheng, Jiajing Xie, Luqi Wang, Hailong Xie, Tong Zhi, Yujia Guo, Bofeng Zhu, Dong Wang, Yu Chen   +8 more
wiley   +1 more source