Results 191 to 200 of about 2,947,232 (303)

Sarbecoviruses Suppress Innate Immunity by Recruiting PPM1A to Modulate STAT2 and ORF9b Phosphorylation

Advanced Science, EarlyView.
Sarbecovirus ORF9b recruits host phosphatase PPM1A to suppress innate immunity through dual mechanisms. PPM1A directly dephosphorylates ORF9b to sustain its activity and indirectly downregulates STAT2 phosphorylation to impair interferon signaling. Pharmacological inhibition of PPM1A restores antiviral responses and limits sarbecovirus replication ...
Lixiang Xie, Ziye Huang, Zhiyuan Zhang, Yiqiang Zhu, Xiaoqing Liu, Lei Wang, Tongyu Bi, Taizhen Liang, Jintao Lai, Meilin Hu, Guochang Qiu, Shiqi Xiao, Sen Liu, Yaoming Liu, Haiyue Rao, Tao Chen, Haojie Peng, Bin Zhang, Jia Tang, Qianying Li, Yaxin Li, Yuxin Hou, Weibo Yang, Hewei Jiang, Xiancai Ma   +24 more
wiley   +1 more source

Processing <i>α</i>-Chitin into Stable Composite Materials for Heavy Metal Adsorption. [PDF]

Int J Mol Sci
Aravind A, Seliverstova K, Kammerlander KKK, Henle T, Brunner E.   +4 more
europepmc   +1 more source

Atomically Dispersed Fe‐Modified SnS for Sn‐Centered Peroxymonosulfate Activation Toward Acetaminophen Degradation

Advanced Science, EarlyView.
Atomically dispersed Fe regulates the local electronic environment and surface properties of SnS, while PMS preferentially coordinates to Sn through Sn–O interaction. Fe incorporation further enhances the Sn–OPMS interfacial interaction, facilitating Sn‐centered PMS activation and the generation of SO4•−/•OH for APAP degradation, thereby clarifying the
Shuhui Liu, Yantao Wang, Ya Liu, Jingkai Lin, Shaobin Wang, Wenjie Tian   +5 more
wiley   +1 more source

Generation of Eroded Nanoplastics from Real World Wastes and Their Capacity for Heavy Metal Adsorption. [PDF]

ACS ES T Water
Pokhrel A, Islam MS, Mitra S.
europepmc   +1 more source

Self‐Healing Pd(II) Cage Metallogels for Iodine Capture in Water and Heterogeneous Photocatalysis

Advanced Science, EarlyView.
Two carbazole‐derived metal‐organic cages hierarchically self‐assemble into supramolecular metallogels that integrate autonomous self‐healing, reversible stimuli responsiveness, high‐capacity aqueous iodine capture, and visible‐light‐driven photocatalytic sulfide oxidation within a single multifunctional platform.
Monotosh Dalapati, Raghunath Singha, Debashree Manna, Dipak Samanta   +3 more
wiley   +1 more source

Preparation and Heavy Metal Adsorption Performance of 2-Aminopyridine-Modified Sodium Alginate/Polyacrylic Acid Hydrogel. [PDF]

Gels
Wu T, Sawut A, Simayi R.
europepmc   +1 more source

Soil pH Amelioration Synergizes Carbon Accrual with Yield Gains Under Organic Substitution

Advanced Science, EarlyView.
Soil pH shifts towards neutrality in both acidic and alkaline soils under organic substitution. A global synthesis links pH amelioration to soil organic carbon accrual through enhanced microbial biomass after accounting for added organic carbon and its interaction with pH. This pH amelioration‐shared soil organic carbon accrual accounts for 5.1–8.6% of
Xunzhuo Dong, Yanzhong Yao, Bingbing Han, Yunyao Zhong, Benyi Li, Mengfei Li, Yunchao Dai, Zhaolei Li   +7 more
wiley   +1 more source

Exploring the efficiency of chemically activated palm frond carbon in heavy metal adsorption a modeling approach. [PDF]

Sci Rep
Hammad WA, Darweesh MA, Eweida B, Amr MHA, Bakr A.   +4 more
europepmc   +1 more source

Morphology‐Defined Entropy Streams for Random‐Bit Generation and Probabilistic Sampling in Memristor Arrays

Advanced Science, EarlyView.
Au nanoisland morphology defines stochastic high‐resistance‐state transport in Ag/TiO2 memristor arrays, transforming nanoscale structural disorder into a tunable physical entropy resource. Morphology‐controlled field hotspots and reset‐modulated nanogaps generate statistically validated random‐bit streams, which further serve as device‐derived ...
Hyunjun Kim, Da Ye Kim, Noah Jang, Yongho Lee, Byunghun Song, June Soo Kim   +5 more
wiley   +1 more source

Heavy metal adsorption efficiency prediction using biochar properties: a comparative analysis for ensemble machine learning models. [PDF]

Sci Rep
Yaseen ZM, Alhalimi FL.
europepmc   +1 more source