Results 121 to 130 of about 5,841,978 (243)

Seeing the Chemistry of Biomolecular Condensates: In Situ Mapping of Composition and Water Content

Advanced Science, EarlyView.
Raman hyperspectral imaging combined with spectral phasor analysis enables a label‐free quantification of proteins, polymers and water density within individual biomolecular condensates. By transforming complex vibrational fingerprints into intuitive compositional maps, the approach reveals the high water content and structural heterogeneity of ...
E. Sabri, A. Mangiarotti, C. N. Z. Schmitt, R. Dimova   +3 more
wiley   +1 more source

Controlling Self‐Doping in Conjugated Polyelectrolyte Copolymers to Vary the Threshold Voltage in OECTs

Advanced Electronic Materials, EarlyView.
Two series of self‐doped conjugated polyelectrolytes are synthesized from a non‐self‐dopable building block 3MEEET and a self‐dopable building‐block 3HOT−[TMA+] or 3HOT−[SO3H] enabling precise control over the degree of self‐doping, which in turn directly governs the threshold voltage (VT) in OECTs over a wide range of 700 mV.
Julian Hungenberg, Andreas W. Erhardt, Adrian Hochgesang, John Mohanraj, Lys Sprenger, Sahar Salehi, Christopher R. McNeill, Mukundan Thelakkat   +7 more
wiley   +1 more source

Biological Resectability in Colorectal Liver Metastases: A Nomogram‐Based Continuous Risk Model to Define Borderline Disease

Annals of Gastroenterological Surgery, EarlyView.
KRAS mutation demonstrated a prognostic impact according to primary tumor sidedness, independent of tumor morphology, in patients undergoing hepatectomy for colorectal liver metastases. A nomogram integrating biological and clinicopathological factors was developed to provide continuous biological risk assessment.
Yuzo Umeda, Toshiharu Mitsuhashi, Tomokazu Fuji, Toru Kojima, Takeshi Koujima, Tatsuo Matsuda, Daisuke Satoh, Masaru Inagaki, Kosei Takagi, Toshiyoshi Fujiwara   +9 more
wiley   +1 more source

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

Impacts of varying methionine to cysteine supplementation ratios on growth performance, oxidative status, intestinal health, and gene expression of immune response and methionine metabolism in broilers under Eimeria spp. challenge

Poultry Science
: A study was conducted to investigate effects of different methionine (Met) to cysteine (Cys) supplementation ratios (MCR) on growth performance, oxidative status, intestinal health, immune responses, and methionine metabolism in broilers under Eimeria ...
Guanchen Liu, Milan K. Sharma, Yuguo H. Tompkins, Po-Yun Teng, Woo K. Kim   +4 more
doaj   +1 more source

Scaffold‐Free Living Cellular Structure With Omnidirectional Architectures

Advanced NanoBiomed Research, EarlyView.
Hydrogel lumen confinement enables the direct formation of mechanically stable, scaffold‐free cellular filaments under entirely aqueous, phototoxicity‐free conditions. These processable living building blocks support omnidirectional assembly into complex three‐dimensional architectures, providing a simple and versatile platform for scaffold‐free ...
Jing Ma, Shanshan Zhang, Xiaokang Deng, Cheng Qi, Haifeng Dong, Zhou Liu, Si Meng, Tiantian Kong   +7 more
wiley   +1 more source

Genomic characterization and stability of mcr-carrying plasmids in Klebsiella pneumoniae from Taiwanese hospitals: Identification of a distinct mcr-9-harboring plasmid in the high-risk ST11-KL47 clone

Journal of Infection and Public Health
Background: The spread of colistin-resistant Klebsiella pneumoniae carrying mobilized colistin resistance (mcr) genes via plasmids threatens last-line treatment options and complicates infection control in healthcare settings.
Yi-Jiun Pan, Tuyet-Anh Nguyen Thi, Nai-Wen Tsao, Tran Lam Tu Quyen, Yi-Yin Chen, Yu-Jung Chen, Jo-Ping Chang, Shiao-Wen Li, Chong-Wei Huang, Yu-Chia Hsieh   +9 more
doaj   +1 more source

Kinetic analysis of MCR and MCR-C proteins.

, 2013
(A) Enzyme activity comparison of MCR, MCR-N/MCR-C, and MCR-C. 0.05 nmol (each) of MCR, MCR-N/MCR-C, and MCR-C were used to catalyze the reactions at pH7.8 at 57°C, respectively. Date represent mean ± standard deviation (N=3).
Yamei Ding (461417), Guang Zhao (324536), Changshui Liu (461416), Qi Wang (22418), Mo Xian (186207)   +4 more
core   +1 more source

Prevalence and characteristics of mcr-9-positive Salmonella isolated from retail food in China

LWT, 2022
Huanjing Sheng, Jiaqi Ma, Qiuping Yang, Wei Li, Qian Zhang, Chengqian Feng, Jin Chen, Mingqian Qin, Xiumin Su, Puyao Wang, Jie Zhang, Wei Zhou, Linna Zhao, Li Bai, Shenghui Cui, Baowei Yang   +15 more
openaire   +1 more source

Acquired mutations in transcriptional regulator hns and lipopolysaccharide biosynthesis and modification genes impact colistin resistance and fitness of mcr-carrying E. coli

Antimicrobial Agents and Chemotherapy
Gram-negative bacteria can develop resistance to the last-resort antimicrobial colistin through the acquisition of mobile colistin resistance (mcr) genes or chromosomal mutations.
Anna Schumann, Ian P. O’Keefe, Robert K. Ernst, Martin Wiedmann   +3 more
doaj   +1 more source